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You searched for +publisher:"Texas A&M University" +contributor:("Yarnold, Matthew"). Showing records 1 – 3 of 3 total matches.

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Texas A&M University

1. Tohme, Rita. The Effects of Truck Platoons on Steel Bridge Load Ratings.

Degree: MS, Civil Engineering, 2019, Texas A&M University

Platooning is the use of vehicle-to-vehicle communications and sensors, such as cameras and radars, to allow two or more trucks to drive as a single unit, and automatically accelerate and brake together, allowing them to travel at closer distances. With the world moving closer towards a more environmental-friendly approach to everyday decisions, it is not a surprise that the concept of truck platooning is gaining momentum, as it reduces CO2 emissions by lowering fuel consumption. However, studies need to be performed to confirm that bridges already in existence will be able to handle platoons, even though they were not designed for them, or, restrict platoon activity on the ones that show poor results. The scope of this research is to study the effects of truck platooning on, steel girder bridges of single, two, and three-spans. Several truck-to-truck distances were selected and tested with a different number of trucks, per platoon, while varying spans lengths, or girder spacings. The AASHTO design and legal load ratings were calculated for each platoon case and were then used to examine the effects of truck platooning on bridge load ratings, and thus the adequacy of current bridges to carry platoons. The overall findings of the study include the following observations. Bridges previously designed using Allowable Stress Design may be inadequate for truck platoons in the positive moment region for medium to long-spans. In addition, they may be inadequate in the negative moment region for short spans. Bridges previously designed using Load Factor Design will likely be adequate for truck platoons in the positive moment region. However, issues may arise in the negative moment region for medium span lengths. Bridges previously designed using Load and Resistance Factor Design may be inadequate for truck platoons in the positive moment region for long-spans. However, there will likely not be any issues in the negative moment region. The number of trucks with in a platoon and the spacing between trucks inside a platoon are the most influential parameters on their load ratings. The adequacy of existing bridges will hinge on the quantities of these variables. Advisors/Committee Members: Yarnold, Matthew (advisor), Behzadan, Amir (committee member), Keating, Peter (committee member).

Subjects/Keywords: truck platoons; steel bridge; load ratings

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tohme, R. (2019). The Effects of Truck Platoons on Steel Bridge Load Ratings. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/184401

Chicago Manual of Style (16th Edition):

Tohme, Rita. “The Effects of Truck Platoons on Steel Bridge Load Ratings.” 2019. Masters Thesis, Texas A&M University. Accessed April 15, 2021. http://hdl.handle.net/1969.1/184401.

MLA Handbook (7th Edition):

Tohme, Rita. “The Effects of Truck Platoons on Steel Bridge Load Ratings.” 2019. Web. 15 Apr 2021.

Vancouver:

Tohme R. The Effects of Truck Platoons on Steel Bridge Load Ratings. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1969.1/184401.

Council of Science Editors:

Tohme R. The Effects of Truck Platoons on Steel Bridge Load Ratings. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/184401


Texas A&M University

2. Pillay Thulaseedharan, Nandhu. Impact of Truck Platooning on Texas Bridges.

Degree: MS, Civil Engineering, 2020, Texas A&M University

United States trucking industry has an annual revenue output of $725 billion and is expected to grow by over 40 percent by 2045. The biggest challenges faced by the industry is the ever-increasing oil prices and the shortage of drivers to meet the growing demands. Truck platooning provides an efficient solution for both the challenges, which can be incorporated by equipping the existing inventory with modern sensors and systems. Platooning of trucks is the process by which two or more trucks move together along highways, maintaining a constant close space between them also allowing for significant fuel savings. The scope of this study is to research the potential impacts of truck platoons on the Texas bridge inventory. Bridges are one of the major elements of the highway infrastructure. Texas has the largest bridge inventory in the USA with over 55,000 bridges (more than 40 percentage older than 40 years). Due to the large inventory under consideration, a subset of bridges most likely support future truck platoons was selected (6,550 bridges). For each of these structures estimated truck platoon load ratings were calculated according to the original design methodology (allowable stress, load factor, or load and resistance factor) using NBI data elements along with assumptions from prior studies. The obtained load ratings from the older structures were then standardized to the load and resistance factor rating method. Then the bridges were prioritized considering the effects of the bridge condition. This identified the structures that require the earliest attention. In total, six different trucks at four different spacings under two- and three-truck platoons were analyzed as a part of the research. In addition, a cost benefit analysis is also performed with respect to truck platoons and bridges for better understanding of the benefits. Overall conclusions were drawn regarding the sensitivity of the original design methodology, bridge span length, truck type, truck spacing and number of trucks within a platoon on the bridge prioritization. In addition, a secondary benefit of the study is that a framework is presented for other bridge owners to prioritize their bridges that may be subjected to truck platoon or other heavy vehicle loading. Advisors/Committee Members: Yarnold, Matthew (advisor), Haque, Mohammed (committee member), Sideris, Petros (committee member).

Subjects/Keywords: Bridges; Structural Engineering; Transportation; Platoons; Automation; TxDOT; Truck Platoon

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pillay Thulaseedharan, N. (2020). Impact of Truck Platooning on Texas Bridges. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/191819

Chicago Manual of Style (16th Edition):

Pillay Thulaseedharan, Nandhu. “Impact of Truck Platooning on Texas Bridges.” 2020. Masters Thesis, Texas A&M University. Accessed April 15, 2021. http://hdl.handle.net/1969.1/191819.

MLA Handbook (7th Edition):

Pillay Thulaseedharan, Nandhu. “Impact of Truck Platooning on Texas Bridges.” 2020. Web. 15 Apr 2021.

Vancouver:

Pillay Thulaseedharan N. Impact of Truck Platooning on Texas Bridges. [Internet] [Masters thesis]. Texas A&M University; 2020. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1969.1/191819.

Council of Science Editors:

Pillay Thulaseedharan N. Impact of Truck Platooning on Texas Bridges. [Masters Thesis]. Texas A&M University; 2020. Available from: http://hdl.handle.net/1969.1/191819


Texas A&M University

3. Murphy, Brittany Rene. Temperature-Driven Structural Identification for Bridge Performance Evaluation.

Degree: PhD, Civil Engineering, 2019, Texas A&M University

Bridges serve as integral components of infrastructure all around the world. Their direct impact to society is substantial, and their reliability is paramount. As such, confidence in the integrity of these structures is important not only for individuals who utilize these structures but also for the bridge owners and engineers who operate and maintain them. In order to develop a comprehensive understanding of the structural behavior, evaluations are conducted to assess the structure’s performance. By utilizing input-output relationships between loads and responses, structural performance evaluations provide an opportunity to assess unique bridge behavior such as complex mechanisms or deterioration. The research presented herein investigates a novel, temperature-driven concept for bridge performance evaluation wherein thermal behavior in response to environmental temperature changes is used to assess the structure. Within this research, two bridges are evaluated using a probabilistic approach of single and multiple model updating within the temperature-driven structural identification process. This technique utilizes Latin Hypercube Sampling as well as Bayesian calibration to identify unknown bridge parameters and evaluate the structural performance. Then, these studies are compiled into a synthesis of temperature-driven evaluations from nineteen bridge studies throughout the world to develop a comprehensive framework and to provide guidance for using thermal behavior for performance evaluations. The intellectual merit from each study illuminates various motivations, methods, successes, and challenges of temperature-driven evaluations. Guidance regarding structure details, monitoring criteria, as well as data and analysis is provided to assist bridge owners, engineers, and researchers who utilize this temperature-driven technique to conduct evaluations. Based on the research presented herein, temperature-driven performance evaluations provide extensive insight, not only to the thermal behavior of the bridge, but the overall structural health. Advisors/Committee Members: Yarnold, Matthew (advisor), Hurlebaus, Stefan (committee member), Mander, John (committee member), Jeong, David (committee member).

Subjects/Keywords: structural identification; thermal behavior; temperature; bridge performance; single model; multiple model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Murphy, B. R. (2019). Temperature-Driven Structural Identification for Bridge Performance Evaluation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/185081

Chicago Manual of Style (16th Edition):

Murphy, Brittany Rene. “Temperature-Driven Structural Identification for Bridge Performance Evaluation.” 2019. Doctoral Dissertation, Texas A&M University. Accessed April 15, 2021. http://hdl.handle.net/1969.1/185081.

MLA Handbook (7th Edition):

Murphy, Brittany Rene. “Temperature-Driven Structural Identification for Bridge Performance Evaluation.” 2019. Web. 15 Apr 2021.

Vancouver:

Murphy BR. Temperature-Driven Structural Identification for Bridge Performance Evaluation. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1969.1/185081.

Council of Science Editors:

Murphy BR. Temperature-Driven Structural Identification for Bridge Performance Evaluation. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/185081

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