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Work in Progress: Educational Uses of an Intelligent System to Teach Construction Processes – A Case Study of the Giant Wild Goose Pagoda

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

ConstDiv Technical Session 1 - Capstone & Case Study

Tagged Division

Construction Engineering

Page Count

17

DOI

10.18260/1-2--33609

Permanent URL

https://peer.asee.org/33609

Download Count

377

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Paper Authors

biography

Fei Yang Ohio State University

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Fei Yang is a Ph.D. candidate at the Ohio State University. Fei has a B.S. in Civil Engineering from the Beijing University of Civil Engineering and Architecture and is currently working towards Ph.D. in Civil Engineering at the Ohio State University, focusing on the graphical simulation of ancient buildings applying VR and AI technologies, and reconstruction analysis.

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Michael Parke Ohio State University

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Dr. Parke has over twenty years experience in satellite based earth science research. He has been teaching first year engineering for the past nineteen years, with emphasis on 3-D computer aided design, computer programming, and project design and documentation.

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Fabian Hadipriono Tan P.E. Ohio State University

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Fabian Hadipriono Tan has worked in the areas of construction of infrastructures and buildings, failure assessment of buildings and bridges, construction accident investigations, forensic engineering, ancient buildings, ancient bridges, and the ancient history of science and engineering for over 40 years. The tools he uses include fault tree analysis, fuzzy logic, artificial intelligence, and virtual reality.

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Adrian Hadipriono Tan

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Adrian H. Tan is a Ph.D. alumnus from the Ohio State University. Adrian has a B.S. in Computer Science and Engineering and an M.S. and Ph.D. in Civil Engineering from the Ohio State University. Adrian's dissertation work concerned ancient civil engineering and construction with a focus on computer graphics and virtual simulation in the engineering industry.

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Shilun Hao Ohio State University Orcid 16x16 orcid.org/0000-0002-4808-9265

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Shilun Hao is a Ph.D. alumnus from the Ohio State University. Shilun has been awarded the B.S. in Civil Engineering from the Beijing University of Civil Engineering and Architecture, M.S. and Ph.D. in Civil Engineering from the Ohio State University. Shilun's dissertation topic is the graphical simulation of dougong using vitural reality.

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Abstract

With the rapid development of the building industries in the world, it has become increasingly important to understand the processes needed to complete a construction operation in a timely and cost-efficient manner. Unlike the traditional processes in building construction, a new method using an intelligent system allows learners to support construction operations, involving the use of equipment, materials and laborers allocated to particular activity. Advanced three-dimensional simulation tools are created and step-by-step processes are introduced. We will use these tools to simulate the processes of ancient constructional technologies, such as those employed in the erection of the most famous pagoda in China, i.e., Dayanta or the Giant Wild Goose Pagoda (this pagoda, in Xi’an, the ancient capital of China, was originally built by Xuan Zhang in AD 652, the legendary monk who travelled to India to acquire Buddhist scriptures and translated and stored them in Dayanta). Since Xuan Zhang built the first pagoda, several renovations/versions had appeared,the study in this paper focuses on the last version of the pagoda that currently stands in the city of Xi’an. The software used to represent the 3D components are 3ds Max and Visual Studio. We believe that the learning of these engineering processes could be enhanced by its early introduction in the classroom. Most ancient buildings were constructed manually with primitive resources. In many cases, information about these building processes have been lost in time. Information is often non-existent and fragmented, yet, one cannot argue that Dayanta is a magnificent monument even as it stands now. So, how did they build such an extraordinary structure? By using the present as a guide to the past, this paper will describe how these ancient Chinese likely implemented in the construction processes. Thus, the objective of this research is to introduce an intelligent system that allows users to learn how this ancient pagoda was built almost 1,400 years ago. The authors use three-dimensional images of building components of the substructure (foundation) and superstructure (pagoda) of Dayanta. Students will be guided through the correct construction sequence and operations through the use of animation and ample descriptions of the use of materials, equipment and technology. Furthermore, to verify the effectiveness of this intelligent system, the authors plan to conduct a survey for assessing the usefulness and ease of the system, and the reasonableness of the construction sequence and operations of Dayanta. It is felt that the best use of intelligent systems will be to complement traditional instruction rather than replace it. Thus, the intelligent system could be used either as part of pre-work to become familiar with the topic before class or as interactive homework, e.g. to locate and describe key model examples of what was taught in class. The anticipated survey will compare students receiving traditional instruction with students for whom the traditional pre and/or post work assignments have been replaced by tasks using the intelligent system. In summary, this research will introduce the Dayanta, the intelligent system to model the Dayanta, and an example of a possible assignment related to it.

Yang, F., & Parke, M., & Tan, F. H., & Tan, A. H., & Hao, S. (2019, June), Work in Progress: Educational Uses of an Intelligent System to Teach Construction Processes – A Case Study of the Giant Wild Goose Pagoda Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33609

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