A proposal to facilitate mandatory bridge load tests with artificial neural network analyses using a digital data aggregation platform

• Autorzy: Owerko Piotr , Kałuża Jerzy , Wazowski Marek

Identyfikatory

DOI

10.21307/ACEE-2021-023

• Języki publikacji: EN

Abstrakty

EN

The paper presents an innovative concept of digital aggregation of data related to mandatory in-situ load tests of bridge structures. The proposed approach allows to manage various types of information regarding those experiments, in a way which is consistent with current good practises in BIM technology and digitalisation of construction industry. The proposed web platform will allow for vast improvements in decision-making process regarding admission of a given bridge for service, in proper analyses and even predictions of bridges mechanical response. Initial architecture of the system is introduced along with an appropriate literature review and the identification of key actors and their roles in the described information management process. To highlight the potential of the solution, two examples are shown. In both cases key advantages of digital aggregation are emphasised: the possibility to learn from previous analogical in-situ experiments, and the possibility to utilise modern machine learning algorithms and state-of-the-art open-source solutions.

Słowa kluczowe

EN

bridge load test; tensorflow; neural network; API; BIM; digitalization

PL

test obciążenia mostu; przepływ tensorowy; sieć neuronowa; API; BIM; digitalizacja

• Wydawca: Silesian University of Technology
• Czasopismo: Architecture Civil Engineering Environment
• Rocznik: 2021
• Tom: Vol. 14, no. 3
• Strony: 69--78
• Opis fizyczny: Bibliogr. 35 poz.

Twórcy

autor

Owerko Piotr

• Assistant Prof.; PhD, Faculty of Materials, Civil and Environmental Engineering, University of Bielsko-Biala, Bielsko-Biala, Poland

autor

Kałuża Jerzy

• MSc; Aspekt Laboratorium Sp. z o.o., ul. Chopina 96, 43-600 Jaworzno, Poland

autor

Wazowski Marek

• PhD; Aspekt Laboratorium Sp. z o.o., ul. Chopina 96, 43-600 Jaworzno, Poland

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