296-Repair Techniques for Wood Trusses, Part 3: Complex Truss Repairs
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Metal plated wood trusses are engineered products that are manufactured in a controlled environment and are now used extensively in the wood frame construction industry. Wood trusses provide the architect or building designer greater flexibility in the design of the structure than conventional framed (stick-built) construction. The design is not as limiting with regard to bearing wall locations which enables longer spans and greater ability to shape complicated roof and ceiling profiles. These pre-manufactured wood trusses facilitate a quicker construction schedule and an overall lower cost.
Wood, a renewable resource, has a great deal of manufacturing flexibility. Wood members are easily formed into standard framing sizes, cut into appropriate lengths with odd angles if necessary, and attached to form the wood structure. However, wood is more susceptible than steel or concrete to damage due to internal defects, handling issues, and long term deterioration. Design or manufacturing errors, shipping damage, miscommunication, and change orders are possible causes for the inadequacy of a wood truss for a specific application and therefore a repair or modification of the pre-manufactured wood truss is required. The purpose of this document is to address various repair techniques that could be used to correct damage to the wood members or metal plates, reinforce trusses that do not meet the required specified design loads, or adjust the truss profile or member location to meet other design requirements.
This course is the second part in a three part series which consists of a total of 11 chapters between all three parts. Chapters 1 through 3 provide an introduction to the terms, concepts, and process involved in truss repairs. Chapters 4 through 11 contain actual truss repairs to provide instruction through the use of example. These chapters are broken down as follows:
Part 1: Introduction and Simple Repair Concepts — Five Chapters
- Chapter 1 — Definitions
- Chapter 2 — Repair Design Concepts
- Chapter 3 — Wood Truss Repair Connections
- Chapter 4 — Member Damage and Defects
- Chapter 5 — Plate Damage
Part 2: Moderate Truss Repairs - Four Chapters
- Chapter 6 — Manufacturing Errors
- Chapter 7 — Stubs and Extensions
- Chapter 8 — Minor Modifications
- Chapter 9 — Major Modifications
Part 3: Complex Truss Repairs - Two Chapters — Current Part
- Chapter 10 — Volume Ceiling Changes
- Chapter 11 — Girders and Truss Loading.
It is highly recommended to complete Parts 1 and 2 before attempting Part 3. The techniques developed in the earlier chapters provide a good basis for the complex truss repairs presented in Part 3
287-Engineering Methods in Microsoft Excel - Part 2: Applied Optimization
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
This course is part of a series on engineering methods in Microsoft Excel tailored to practicing engineers. This course series presents Microsoft Excel
tools that can be used for a wide range of engineering analyses and data management. This course covers an introduction to applied optimization problems. This course presents a review of the fundamental principles
followed by a real-life example encountered by a practicing engineer. The real-life examples are then formulated and implemented in Microsoft Excel and worked using
the various Excel tools, spreadsheet techniques, and built-in functions. Examples from various engineering fields are used to demonstrate the concepts and methods
learned throughout this course. Upon completion of this course, practitioners will be able to apply the methods learned to a variety of engineering problems, and also to identify situations in their fields
of specialty where the innovative application of these tools and methods will be advantageous to their output and to their work product.
362-Python Programming for Engineers - Part 1: Expressions, Data Types, Variables and Strings
5 $112.50
Course Objectives: This course presents introduction to the Python programming language. This course presents the concepts of expressions, data types, variables, strings, lists, tuples, dictionaries and sets, and how they are applied in the Python programming language. Upon completion of this course learners will be able to use Python to perform engineering calculations, manage data, and build desktop applications.
Course Description:
This course is the first of a series on the Python programming language. The course presents a general overview of computers and computer programming, followed by an introduction to the Python programming language. The course presents applications for developing and testing Python programs.
363-Python Programming for Engineers - Part 2: Branching and Looping, Functions and Error Handling
5 $112.50
Course Objectives: This course presents introduction to the Python programming language. This course presents the concepts of conditional statements, looping structures, functions, modules, input and out (I/O) functions, file handling, and error handling techniques, and how they are applied in the Python programming language. Upon completion of this course learners will be able to use Python to build computer programs that manage large data sets, automate complex and repetitive engineering calculations and implement algorithms.
Course Description:
This course is the second of a series on the Python programming language. This course presents techniques and programming structures of the Python programming language for
automating complex, repetitive tasks and implementing algorithms. This course presents techniques for troubleshooting and debugging Python programs.
275-What Every Engineer Should Know About Engineering Probability and Statistics I
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
The concept of probabilistic design is quite pervasive across the engineering disciplines because of its implication on engineering design decisions. Typically, assumptions and simplification of
engineering and other related natural processes are often idealistic and do not consider uncertainties inherent in those processes and phenomenon (be they mechanical, chemical, electrical, biological,
etc). There is also the tendency to assume that the situation is either deterministic or qualitative or both. Under certain circumstances such assumptions may suffice. However, in the realm
of engineering design, such assumptions and simplifications are not acceptable as uncertainties are unavoidable in almost all engineering analyses and design activities. Thus, any recommendations that are
formulated without proper identification and assessment of the inherent risks and uncertainties would not only be invalid but would paint a wrong picture of the situation under consideration.
The purpose of this course therefore is to present the fundamental concepts of probability and statistics from the perspective of engineering practice. As part of the learning objective, the course would demonstrate:
- The role of probability and statistics in engineering design decisions, and
- The concepts of variability
Additionally, the student will be able to:
- Develop an appreciation of the notion of events, the sample space and the real line.
- Understand the notion of enumeration and counting techniques that are applicable in probability and statistics analyses.
- Explore the meaning of density and mass functions with respect to their relationship to random variables.
- Discover some of the common discrete and continuous distributions that are employed in describing engineering problem situations and scenarios
276-What Every Engineer Should Know About Engineering Probability and Statistics II
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
The concept of probabilistic design is quite pervasive across all engineering disciplines because of its implication on engineering design decisions. Quite often because of the complexity of the processes and the difficulty in explicating the inherent relationships, assumptions about engineering and other related natural processes are simplified and so do not consider uncertainties inherent in those processes and phenomenon. Safety factors and safety margins have often been employed to overcome the need for probabilistic designs. Under certain circumstances such assumptions may suffice. However, in the realm of engineering design, such assumptions and simplifications may not be acceptable as uncertainties are unavoidable in almost all engineering analyses and design activities. Therefore any recommendation developed without proper identification and assessment of the inherent risks and uncertainties would not only be invalid but would paint an unrealistic and unrepresentative picture and thus could jeopardize public safety.
This second course in the series focuses on an important area of engineering analyses and design, namely Statistical Inference. Statistical Inference is about how we analyze data and use the information to make decisions about a given engineering problem. The process of explicating the complexities of the data to yield information that would eventually be used to make design or mission decisions is known as inference or more appropriately Statistical Inference. If we examine the relationship between the population and the sample (as we did in the first course) we note that there is sort of a symbiotic (parent-population, offspring-sample) relationship between the two. Probability deals with the population with its parameters (parent values) while Statistical Inference deals with the sample and its statistic (values computed from the sample and used to estimate the population or universe parameters). The following areas would be covered in the course but not necessarily in the order shown:
- The Point Estimates for the Mean and the variance.
- The Central Limit Theorem (CLT) and its role in estimating parameters of a population.
- Sampling distributions for means and variances with variance both known and unknown
- Sampling distribution for two means & two variances with variance known and unknown
- Point Estimator, Interval Estimators and Tests of Hypothesis
- Error of estimation and the effect on sample size (n).
- Type I and Type II errors and the effect on ample size n
- Confidence Intervals for one means and one variances
- Confidence Intervals for two means and two variances
Due to the nature of the materials, a significant number of numerical examples have been included to provide better insight into the materials presented. At the end, the engineer should feel well equipped to explore the important area of Statistical Inference and what it offers with regards to Engineering design decisions.
283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Design of experiment is an activity that every Engineer should take very seriously. Engineers are called upon every day to make decisions regarding programs, processes and systems that have
significant implications on the safety and well-being of society, be they chemical processes, the environment, infrastructure, machinery and equipment, and others. And while Engineers are known for sound
and fact based judgment, those laudable qualities and characteristics may not be enough and may not serve them well in certain circumstances. This is especially true when they are called upon to make decisions
regarding variables and factors whose underlying distributions are stochastic and thus have uncertain, albeit questionable, predictability. Handling these situations requires an understanding of
the formal schemes and structures necessary to deal with variability, bias, and randomness.
This is the first of a two-course sequence in this subject area. As the prerequisite to the second course, it provides the Engineer with the rudimentary, but necessary, toolkit
needed to plan, design and analyze basic engineering experiments and to make recommendations about design and operational decisions. It sets the stage for the second course, where more robust and higher
level designs are explored, including Factorial designs, Fractional designs, Nested designs, Confounding schemes and Regression Analysis. The second course also addresses a fundamental problem of design,
namely cost and resource utilization, and also the all important issue of missing values. While the two courses are not strictly about mathematics and statistics, they do utilize those subject matters to
further elucidate how to plan, design, and analyze engineering experiments. Some of the areas covered in this course include:
- The Role of Experiments in the Engineering Design Process
- The Role of Statistics and Probability in Engineering Design
- Purpose and Nature of Planned Experiments
- Important Issues in Planned Experiments
- The Effects of Changes in the Independent Variables
- The Effect of Noise in An Experiment
- Restrictions on Randomization
- Single Factor Experiments including Model Analysis
- Randomized Block Designs
- Latin and Other Designs
- Incomplete Block Designs
285-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments II
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Design of experiment is an activity that every Engineer should take very seriously. Engineers are called upon everyday to make decisions regarding programs, processes and systems that have significant implications on the safety and well being of society, be they chemical processes, the environment, infrastructure, machinery and equipment,
and others. Engineers are known for sound and fact based judgment but while those qualities and characteristics are laudable, they may not be enough and may not serve them well. This is especially true when they are called upon to make decisions regarding variables and factors whose
underlying distributions are stochastic and thus have uncertain and questionable predictability. Handling these situations requires an understanding of the formal schemes and structures necessary to deal with variability, bias, and randomness.
This second course, in the two-course sequence, focuses on some of the more practical issues that engineers encounter during the design and analysis of experiments. This course focuses on more robust and higher level designs such as Factorial designs, Confounding Schemes Fractional
designs, Fixed and Random factors, Expected Mean Squares, Nested or Hierarchical designs, and Regression Analysis. The course also addresses, with realistic examples, some of the common problem in design of experiments, namely, missing data or missing values. It also provides practical justification for confounding, which arises due to the physical limitation as it relates to acquiring all the needed data.
It addresses the issue of cost and resource utilization where fractional factorial designs are used because the cost to run full higher order designs is prohibitive. The course has a very practical bent and while there are theoretical foundations undergirding the material, the course itself utilizes basic arithmetic for computation and analysis. Some of the areas covered in the course include:
- The Role of Experiments in the Engineering Design Process
- Missing Values for Randomized Block and Latin Designs
- Factorial Designs for 2f and 3f
- Confounding Schemes for 2f and 3f
- Fractional Factorial Designs for 2f and 3f
- Modeling of Fixed and Random Effects and Expected Mean Square (EMS)
- Nested/Hierarchical Designs
- Regression Analysis
297-What Every Engineer Should Know About Statistical Process/Quality Control I
5 List: $112.50
Sale: $35.95
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
The American National Standards Institute (ANSI) defines Quality Assurance (QA) as "All of those planned or systematic actions necessary to provide adequate confidence that an item will perform satisfactorily in service". A more operational definition of quality is the one that defines as: "Fitness for Use" This points to the inescapable fact that it is the customer rather the producer or manufacturer that determines what quality is or should be.
There is a tendency to think of quality as a recent development or phenomenon. However, the basic idea of making a quality product with high degree of uniformity has been around for as long as man has made a product the idea that statistics may be instrumental in assuring the quality of manufactured products goes as far back as the advent of modern production. The widespread use of statistical methods in problems of quality control is even more recent. Many problems encountered in the manufacturing or of product and services and the associated supply chains exhibit process characteristics and as such are amenable to statistical treatment or analysis. Statistical Process/Quality control refer to three special techniques:
- Process/Qualitycontrol,
- Acceptance control,
- Parameter design and the establishment of tolerances.
The course places emphases on the significance of process control rather than inspection as a means of reducing rework and nonconformance. Many experts agree that inspection (especially human inspection) does not add value to quality and thus is a necessary but non-value adding activity.
This first in a two-course sequence will focus on Process/Quality control with emphasis on:
- Historical review of Statistical Process/Quality Control
- Cost of Quality (Cost of Poor Quality)
- Quality Auditing Process
- The difference between Quality of Design and Quality of conformance
- Differences and similarities between SQC and SPC
- Total Quality Management (TQM)
- The Three Gurus of TQM
- Lean Six Sigma
- Off-line Control and On-Line Control
- Shewhart Control Charts--Interpreting Shewhart Control Charts
- Process Capability Evaluation
The second course will focus on acceptance sampling and will explore some of the Military and Commercial Standards that have been developed to aid acceptance control.
345-What Every Engineer Should Know about Statistical Process/Quality Control II
5 List: $112.50
Sale: $35.95
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
The focus of this course is to provide an understanding of the principles of Quality Assurance with a focus on Design for Robustness, Quality Loss, Loss Function Computation, and Acceptance control as well as current definitions, terminologies, inherent assumptions that are applicable in industry and as required by the US Government. It also introduces the student to the relevant Military Standards and other Government publications used in the industry. The course also further develops the concepts of system design, parameter design, and tolerance design, as the foundational elements of Robust Product Design. It also goes into a detailed analysis of the use of MIL-STAD-1916 and MIL-HDBK-1916 in establishing attribute-based Acceptance Sampling plans. The course is replete with numerical examples on the computation of the probability of acceptance (Pa) and other important parameters for single, double and multiple sampling plans including; the Average Outgoing Quality (AOQ), the Average Outgoing Quality Limit (AOQL), the Average Total Inspection (ATI), as well as the Average Sampling Number (ASN).
The course is concept based and uses basic arithmetic to develop the fundamental aspects of the techniques. The topics covered include:
Designing for Robustness
System Design, Parameter Design, Tolerance Design, Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk), Process Errors, Quality Loss, and Loss Function
Acceptance Control
Lot Acceptance Sampling Plans (LASP):
Single sampling plans (SSP), Double sampling plans (DSP), Multiple sampling plans (MSP), Sequential Sampling Plans (SSP), Skip Lot Sampling Plans (SLSP), Operating Characteristics Curves (OC Curves), AOQ Curve
MIL- STD-1916 and MIL-HDBK-1916
Requirements and Applicability of MIL-STD-1916 and MIL-SHDBK-1916
Preferred sampling plans
Determination of sampling plan: Verification Level (VL), Code Letter (CL)
Sampling of lots or batches
Disposition of nonconforming product
349-Engineering Economics Made Easier with MS Excel
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
When we submit engineering proposals, we often have to overcome a number of physical limitations in order to come up with the "best" way of solving a problem.But we should also ask ourselves, "Is this the most economical way of solving the problem?"
We must be able to speak both our "technical language" and the "language of managers" (paraphrasing slightly from quality guru Joseph Juran). Managers are concerned with the bottom line and want to ensure that resources are being used in the best way possible. As engineers, we too have a similar responsibility as we protect the welfare of the public.
The field of engineering economics, formerly known as engineering economy, estimates the costs and potential savings of proposals, and then determines if the proposals make "money-sense". Because the value of money today is not the same as money in the future, we must account for the time value of money, and calculate the proposal's "net present value" based on a rate of return desired by the organization.
Back in those engineering economy days, we often would have to go to tables of numbers and look up the correct "factors" to use to calculate present values and future values. We would have to "interpolate" from the tables if we were to use an interest rate of 7.5% (because the tables skipped from 7% to 8%).It was difficult to "back into" a rate of return for a proposal, or to estimate how long it may take to recoup an investment based on a desired rate of return. (Dare I mention slide rules?)
When you take this course, you will see that MS Excel has quite a few functions that will speed through calculations involving present value, future value, annuities, rates of return, and others. Woven throughout the course are engineering, business, and personal illustrations to help you better relate to the time value of money and the rate of return.
Engineering economics is not easy. But after completing this course, you should be able to see how Excel can make it "easier".
The FREE Microsoft Excel® spreadsheet that accompanies this course will be available for download after purchase. You will need Excel version 1997 or later to open the file.
387-Clarifier Rehabilitation
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Most water treatment plants and wastewater treatment plants have at least one clarifier. Many of the clarifiers were installed more than 30 years ago and are at risk of failure if aged equipment is not rehabilitated.
This course guides the engineer through the rehabilitation process and provides helpful advice to help ensure that a rehabilitated clarifier will last well into the future.
The following topics are covered:
- Condition assessment, including the drive, equipment, and tank
- Performance assessment, including desktop studies and field testing
- Alternatives comparison, with examples
- Design recommendations, including for the coating system
- Construction tips
391-What Every Engineer Should Know About Regression Analyses
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Modern computing technologies and Big data have significantly changed the discourse on data mining and data efficacy. In any system where quantities change, it is of interest to look at the effects if any, of the system variables. Indeed, there may be a relationship (in our case statistical relationship) which may be approximated by a simple mathematical relationship. At other times, the mathematical or functional relationship may be complicated. Still there may be situations where there does not seem to be meaningful relationships between the variables and yet we might want to express or relate those variables by some sort of mathematical equations.
Regression Analysis is one of the most important statistical techniques used for data mining applications. It is a statistical methodology that helps estimate the strength and direction of the relationship between two or more variables, more specifically regressor and response variables and provides detailed insight that can be applied to further improve system outcomes. The importance of regression analysis lies in its singular focus on data which means numbers and figures that ultimately define a business entity. In Regression Analyses, two types of variables are of major concern, namely the regressor or predictive variables also known as independent variables, and the response variable.
The independent or predictor variable is one that is not random but is controlled (sometimes observed such as the amount of rainfall on a plot of land when the interest is on the effect of rainfall on crop yield) during an experiment. The dependent or response variable cannot be controlled but is rather measured as an outcome of the manipulation (or observation in the case of rainfall) of the independent variable and thus is a random variable. In this course, we will focus primarily on the following elements of Regression Analyses, namely:
- Parameters & Estimates
- Probability Distribution of the Parameters
- Covariance between two variables
- Simple hypothesis tests involving parameters including one- and two-sided t and F tests
- Confidence Interval for the parameters
- Orthogonal Columns, Diagonal and Symmetric Matrices
- Estimation of model R2, Adjusted R2, (?? or r) to assess data efficacy
- Coefficient of Variation (CV)
- Multicollinearity and Variance Inflation Factors
399-Engineering Methods in Microsoft Excel - Part 5: Simulation and Systems Modeling II
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Simulation is a set of techniques used to conduct experimentation on a system, virtually, on a computer, by applying mathematical and statistical models. This course presents the formulation and implementation of a simulation model in Microsoft Excel, and discusses how statistical distributions are selected to be applied in a simulation model. Simulation is useful in a variety of scientific and engineering problems where the direct physical experimentation of a system or process is impractical, infeasible, or time or cost prohibitive.
398-Engineering Methods in Microsoft Excel - Part 4: Simulation and Systems Modeling I
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
Simulation is a set of techniques used to conduct experimentation on a system, virtually, on a computer, by applying mathematical and statistical models. This course presents the formulation and implementation of a simulation model in Microsoft Excel, and discusses statistical distributions and how they can be applied in simulation models. Simulation is useful in a broad variety of engineering problems where the direct physical experimentation of the system or process is impractical, infeasible, or time or cost prohibitive.
439-Industrial Pretreatment Standards
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers to provide a practical understanding of industrial pretreatment standards.
Course Description:
Most industrial and commercial facilities discharge wastewater that is subject to industrial pretreatment standards. This course focuses on requirements for indirect discharges to municipal sewer systems. The roles of national, state, and local pretreatment programs are explained. The course also clarifies how industrial users are categorized and how pollutant limits are established in permits.
The following topics are covered:
- Overview of industrial pretreatment
- Regulations
- National, state, and local pretreatment programs
- Types of industrial users
- Pollutant limits
- Inspection, sampling, and reporting requirements
444-Industrial Pretreatment Design
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers to provide a practical understanding of the design of industrial pretreatment systems.
Course Description:
It
is common for industrial and commercial facilities to pretreat
wastewater before discharge to a municipal sewer system. This course
provides valuable insights into the design of these wastewater
pretreatment systems. Design criteria and typical design steps are
explained so an engineer can tackle these challenging designs.
Example problems are provided to help with applying the information
in the course.
The
following topics are covered:
Overview
of industrial pretreatment
Design
criteria and steps
Wastewater
assessments
Treatment
alternatives and comparisons
More
than 20 common treatment methods explained
Process
flow diagrams
445-Spacecraft Electrical Power
5 $112.50
Course Objectives:
Course Description:
This course is meant to provide an overview of spacecraft electrical power systems. Although many can benefit in numerous ways, the author intends the following goals.
- Provide a design Engineer with an overview of the requirements, sources of information, and design practices to enable efficient, first-time quality spacecraft electrical systems.
- Provide a practicing Engineer with the requisite knowledge to adequately review and analyze designs for compliance with a myriad of requirements.
- Provide an aerospace Electrician with a review of the latest updates and impacts to installation procedures along with potential pitfalls, difficulties, and errors.
- Provide the test Engineer with the adequate guidance to ensure thorough testing.
- Provide a list of applicable references for additional study or use at work.
This course discusses the function and operation of spacecraft lithium-ion battery based electrical power systems (EPS). Basic EPS functions such as energy generation, energy storage, power management, distribution, and control are described in terms of compliance to spacecraft power system requirements. Proper power distribution, including wiring and harness concerns, design constraints, protection and grounding are mentioned against the backdrop of mission-specific requirements. Battery overload and short-circuit protection are mentioned against the backdrop of mission and bus needs. Battery management systems used to monitor and manage lithium-ion battery state of operation in terms of cell voltage, load current for various mission scenarios are also discussed along with potential limits during discharge and charging—including the need for cell balancing.
448-Positive Displacement Pump Selection
5 $112.50
Course Objectives: Develop skills for selecting and sizing positive displacement pumps.
Course Description:
Positive displacement pumps include a diverse group of rotary and reciprocating pumps covering a multitude of applications. From chemical metering pumps that you can hold in your hand to Archimedes screw pumps that are three stories tall. This course provides an overview of positive displacement pump types with dozens of helpful figures. The pump selection process is covered with several example problems. After completing this course, you should have the basic knowledge and skills for positive displacement pump selection.
The following topics are covered:
- Types of positive displacement pumps
- Pump design steps
• Design criteria
- Process flow diagrams
- Suction design and lift
- Pump selection
458-Cast, Lift, and Release: Tilt-Up Concrete Walls - Part 1: Construction
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
This course, Cast, Lift and Release: Tilt-up Concrete Walls, Part 1:Construction, is the first in a series of courses on tilt-up concrete walls.
This course focuses on informing the reader about the construction of tilt-up concrete walls. Background information on buildings and the sites they are built on, unique challenges, types of loading, design and construction methods, and recommendations for details.
Ideally, readers should be familiar with structural drawings, as well as construction terms related to concrete.
459-Cast, Lift, and Release: Tilt-Up Concrete Walls - Part 2: Design
5 $112.50
Course Objectives: This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.
Course Description:
This course, Cast, Lift and Release: Tilt-up Concrete Walls, Part 2: Design, is the second in a series of courses on tilt-up concrete walls.
This course focuses on informing the reader about the structural design of slender exterior concrete walls subject to gravity loads from floors and roofs combined with out-of-plane lateral loads due to wind and earthquakes.
Ideally, readers should be familiar with statics and mechanics of materials, as well as concrete design.
479-Tiny Houses Part 5 - Highly Mobile and Off-Grid Case Studies
5 List: $112.50
Sale: $35.95
Course Objectives: After completing this course participants should be able to:
1. Understand what potential solutions exist for a tiny house’s water source(s), wastewater treatment or disposal system(s), and energy source(s).
2. Identify what solutions are feasible for a variety of situations or given scenarios.
3. Size an off-grid solar photovoltaic system array and battery bank.
4. Apply “toolbox” information and calculation methods to case studies and/or real life.
Course Description:
This course is part of a multi-part course series on designing tiny houses (houses 400 square feet or less in size). This fifth course presents case studies related to highly mobile tiny houses on wheels (THOW) and off-grid tiny houses, whether THOW or tiny houses on foundations (THOF). Prior to the case studies, a “toolbox” of flowcharts, methods, and products is given to help show possible solutions for tiny house water, wastewater, and energy needs. Six examples and five case studies are included. Much of the basis of this course came from my own research, planning, designing, and construction of a THOW I built myself and the subsequent search for a property to place it on. This course is intended as a stand-alone course, meaning you can take it without having taken previous courses in the series. Certain topics and background are covered in greater detail previously in the series, so when appropriate, I make reference to other courses.
480-Chemical Feed System Design
5 $112.50
Course Objectives: Gain knowledge and develop skills for the design of chemical feed systems.
Course Description:
Chemical feed systems provide for the reliable dosing of chemicals to numerous applications across many industries worldwide. Engineers from most disciplines can benefit from a greater understanding of how chemical feed systems are designed. This course provides an overview of chemical feed systems including common regulatory requirements. Components reviewed include chemical unloading stations, storage tanks, day tanks, mixing systems, feed pumps, valves, and injection configurations. Several example problems are provided to help apply the knowledge gained.
The following main topics are covered:
• Regulatory Requirements
• Safety Data Sheets
• Design Criteria
• Chemical Dosing
• Process Flow Diagrams
• Chemical Storage Tanks
• Chemical Feed Pumps
