Conference Session

Teaching & Learning Statics and Mechanics of Materials

Collection

2016 ASEE Annual Conference & Exposition

Authors

Barry T. Rosson P.E., Florida Atlantic University

Tagged Divisions

Mechanics

presenting the total externalwork and total strain energy equations beginning first with a single load P applied to a planartruss with one load sequence. Then loads P and Q are applied using two load sequences in whichthe load Q is applied at the location and in the direction of the desired displacement. From thisbasis of understanding, an additional load S is included in both load sequences to discuss itsinfluence on the displacement expression. This leads to a general understanding of the influencethat any number of additional loads would have on the displacement expression, and that theeffect of the load Q remains unchanged as these loads are applied. It then becomes evident thatBarry T. Rossonthe desired displacement due to all the applied loads

Conference Session

Mechanics Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Hirohito Kobayashi, University of Wisconsin - Platteville

Tagged Divisions

Mechanics

Optical Flow8,9 and Block Matching algorithms10,11 are relatively easy toimplement. However, both algorithms are derived based on the assumption that target objectdoes not rotate and deform through motion. Clearly, this assumption is not applicable toproblems encountered in the mechanics of material. With the assist of finite strain theory andnonlinear optimization theory, the concept of DIC can be described as follows.The deformation of an elastic body takes place between non-deformed and deformedconfigurations after motion and deformation is schematically presented in Fig. 1. Consider apoint P in the non-deformed body translates to point p through translation 𝑈⃗ . Due to theadditional rigid body rotation and deformation, the target point Q in

Conference Session

Active Learning & Laboratories in Statics, Dynamics, and Mechanics

Collection

2016 ASEE Annual Conference & Exposition

Authors

Benjamin David McPheron, Roger Williams University; Joseph D Legris, Roger Williams University School of Engineering, Computing and Construction Management; Charles Flynn; Aidan James Bradley, Roger Williams University; Ethan Thomas Daniels, Roger Williams University

Tagged Divisions

Mechanics

error signal is 𝑒 𝑛; 𝛩 =𝑋 𝑛 − 𝑋 𝑛, 𝛩 13.The goal of any optimization algorithm is to minimize a given error metric. For simplicity,consider the replacement of the argument t by the argument n to describe the sampled-datasystem, where n represents a sample instance. The output 𝑋(𝑛) can be represented as e f 𝑋 𝑛 = 𝑅 𝑛 (Eq. 9) g f where 𝐴 𝑞 and 𝐵 𝑞 are polynomials, whose ratio 𝐵(𝑞)/𝐴 𝑞 is the true transfer function ofthe unknown system. The forward shift operator is represented by q, defined such that𝑞j" 𝑋 𝑛 = 𝑋(𝑛 − 𝑖).The output of the prediction filter

Conference Session

Measuring Learning in Statics & Dynamics

Collection

2016 ASEE Annual Conference & Exposition

Authors

Christopher Papadopoulos, University of Puerto Rico, Mayaguez Campus; Aidsa I. Santiago-Roman, University of Puerto Rico, Mayaguez Campus; Manuel Jose Perez-Vargas, University of Puerto Rico, Mayaguez Campus; Genock Portela-Gauthier, University of Puerto Rico, Mayaguez Campus; Wadson C Phanord, University of Puerto Rico, Mayaguez.

Tagged Divisions

Mechanics

category 0.36 CATS overall and 0.26 0.22 0.29 0.39 0.29 0.22 0.17 0.31 0.29 0.29 0.15 average scores on associated categories Note 1: Discrimination Index DI = (C1 – C4)/Q, where C1 (C4) is the number of correct responses from students in the upper (lower) quartile with respect to overall score, and Q is the average number of students in each quartile14. Note 2: Pearson Correlations: (ASCI Post, CATS-avg-assoc) = 0.525; (ASCI , CATS-avg-assoc) = 0.451; (ASCI Post, CATS-overall) = 0.162; (ASCI Post, Final Exam) = 0.508; (CATS-overall, Final Exam) = 0.426. Note 3: CATS scores are normalized to range from 0 to 1 for

Conference Session

Active Learning & Laboratories in Statics, Dynamics, and Mechanics

Collection

2016 ASEE Annual Conference & Exposition

Authors

Daniel J. Magda, Weber State University

Tagged Divisions

Mechanics

year enrolled in the capstone design course. The courseis separated into two three-credit classes over two semesters. Typically there are around sevenprojects supporting five to eight students depending on the complexity of the project. At thebeginning of the year, the engineering students took the Kolb learning style quick assessment.Retrieved from https://www.google.com/?gws_rd=ssl#q=kolb+quick+assessment. This quickassessment consists of twenty questions that determine the learning style or preference of astudent as described in table 1. Engineering students with project teams consisted mostly ofstudent learning styles that are converging and assimilating. However, each team also had one ortwo students with learning styles of diverging and