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A Proposal to Facilitate Mandatory Bridge Load Tests with Artificial Neural Network Analyses Using a Digital Data Aggregation Platform Cover

A Proposal to Facilitate Mandatory Bridge Load Tests with Artificial Neural Network Analyses Using a Digital Data Aggregation Platform

Architecture, Civil Engineering, Environment
Volume 14 (2021): Issue 3 (September 2021)
By: Piotr OWERKO,  Jerzy KAŁUŻA and  Marek WAZOWSKI  
Open Access
|Oct 2021

Figures & Tables

Figure 1.

Simplfied sketch of proposed digital platform for bridge load tests information management
Simplfied sketch of proposed digital platform for bridge load tests information management

Figure 2.

Simplfied sketch of proposed modifications in the bridge approval criterion [32]
Simplfied sketch of proposed modifications in the bridge approval criterion [32]

Figure 3.

Exemplary typical bridge under test loading
Exemplary typical bridge under test loading

Figure 4.

Regression perceptron of 4-7-1 architecture
Regression perceptron of 4-7-1 architecture

Figure 5.

Cost function values in each training epoch; in regard to: a) the example “A”; b) the example “B”
Cost function values in each training epoch; in regard to: a) the example “A”; b) the example “B”

Figure 6.

Comparison of the predictive effectiveness of perceptrons in regard to: a) the example “A”; b) the example “B”
Comparison of the predictive effectiveness of perceptrons in regard to: a) the example “A”; b) the example “B”
DOI: https://doi.org/10.21307/acee-2021-023 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
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Language: English
Page range: 69 - 78
Submitted on: May 21, 2021
Accepted on: Jul 3, 2021
Published on: Oct 8, 2021
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Bridge load tests,
TensorFlow,
Neural networks,
API, BIM, Digitalization
Related subjects:
Architecture and design,
Architecture,
Architects, buildings

© 2021 Piotr OWERKO, Jerzy KAŁUŻA, Marek WAZOWSKI, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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