Accesso libero

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

Piotr OWERKO

Piotr OWERKO

Assistant Prof.; PhD, Faculty of Materials, Civil and Environmental Engineering, University of Bielsko-BialaBielsko-Biala, Poland
Cerca questo autore su
Sciendo|Google Scholar
OWERKO, Piotr
, 
Jerzy KAŁUŻA

Jerzy KAŁUŻA

MSc; Aspekt Laboratorium Sp. z o.o.Jaworzno, Poland
Cerca questo autore su
Sciendo|Google Scholar
KAŁUŻA, Jerzy
 e 
Marek WAZOWSKI

Marek WAZOWSKI

PhD; Aspekt Laboratorium Sp. z o.o.Jaworzno, Poland
Cerca questo autore su
Sciendo|Google Scholar
WAZOWSKI, Marek
  
08 ott 2021
A Proposal to Facilitate Mandatory Bridge Load Tests with Artificial Neural Network Analyses Using a Digital Data Aggregation Platform's Cover Image
INFORMAZIONI SU QUESTO ARTICOLO
Articolo precedente
Articolo Successivo
Cita
Scarica la copertina
Pubblicato online: 08 ott 2021
Pagine: 69 - 78
Ricevuto: 21 mag 2021
Accettato: 03 lug 2021
DOI: https://doi.org/10.21307/acee-2021-023
Parole chiave
© 2021 Piotr Owerko et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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”
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Architettura e design, Architettura, Architetti, edifici
Feed RSS della rivista