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contributor authorJiecheng Xiong
contributor authorJun Chen
date accessioned2022-01-31T23:45:37Z
date available2022-01-31T23:45:37Z
date issued3/1/2021
identifier other%28ASCE%29ST.1943-541X.0002932.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270307
description abstractThis paper reports a dataset that provides force time histories of various types of human-induced loads, including walking, jumping, and bouncing activities guided by metronome or music. The dataset contains 3,518 records collected from six experimental campaigns. Ground reaction forces of test subjects were measured using high-precision force plates for individuals and small groups, and the displacements of certain body parts of the test subjects were measured using three-dimensional motion capture technology for large crowds. All data records were converted to a unified format and uploaded to a published dataset. An accompanying website of the human-induced load dataset has also been designed and put online. The website provides a publicly available and type-classified data source of human-induced loads. The dataset will be updated by adding new measurements from both the authors and other researchers. To the author’s knowledge, this dataset is the first open access dataset for research on human-induced loads, which is of great significance to future studies on new and advanced load models to understand the crowd load mechanisms under different circumstances and to spark broader data sharing in this area. Moreover, this dataset helps design engineers select real human-induced loads for a time history analysis of structures and fosters future collaboration among researchers and engineers.
publisherASCE
titleOpen Access and Updated Human-Induced Load Data Set
typeJournal Paper
journal volume147
journal issue3
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)ST.1943-541X.0002932
journal fristpage04720003-1
journal lastpage04720003-8
page8
treeJournal of Structural Engineering:;2021:;Volume ( 147 ):;issue: 003
contenttypeFulltext


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