A Levels of Service (LOS) Digital Twin for Potable Water Infrastructure Systems

TC Dodanwala, R Ruparathna - Canadian Society of Civil Engineering …, 2023 - Springer
Digital twin modeling involves creating a digital version replicating a physical asset's
characteristics, processes, behaviors, and other attributes. While digital twins have seen …

Expert knowledge–guided Bayesian belief networks for predicting bridge pile capacity

RH Assaad, X Hu, M Hussein - Journal of Bridge Engineering, 2023 - ascelibrary.org
Bridge pile capacity is a vital criterion used to assure the durability and stability of a bridge
pile foundation. In fact, reliably predicting the pile capacity plays a significant role in …

Modeling the quantitative assessment of the condition of bridge components made of reinforced concrete using ANN

R Trach, V Moshynskyi, D Chernyshev, O Borysyuk… - Sustainability, 2022 - mdpi.com
Bridges in Ukraine are one of the most important components of the infrastructure, requiring
attention from government agencies and constant funding. The object of the study was the …

Detecting, monitoring and modeling damage within the decision-making process in the context of managing bridges: a review

ACP Martins, JM Franco de Carvalho… - Structure and …, 2024 - Taylor & Francis
The expansion of transportation infrastructure and the aging and deterioration of its
constituent elements make bridge maintenance management programs more expensive …

Machine Learning–Based Bridge Maintenance Optimization Model for Maximizing Performance within Available Annual Budgets

M Ghafoori, M Abdallah, ME Ozbek - Journal of Bridge Engineering, 2024 - ascelibrary.org
Effective maintenance planning for bridges is crucial for maintaining their performance,
safety, and minimizing maintenance costs. Timely implementation of interventions can …

Development of data-based hierarchical learning model for predicting condition rating of bridge members over time

Y Choi, J Kong - KSCE Journal of Civil Engineering, 2023 - Springer
Bridge maintenance strategy is implemented to ensure that effective decisions are made
based on the evaluation of the current performance and predicted future conditions of a …

Vibration-based SHM of Dębica railway steel bridge with optimized ANN and ANFIS

DC Nguyen, M Salamak, A Katunin, G Poprawa… - … of Constructional Steel …, 2024 - Elsevier
The study presents an intelligent data processing algorithm based on artificial neural
networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) to predict the dynamic …

Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach

N Almarahlleh, H Liu, O Abudayyeh… - Journal of Performance …, 2024 - ascelibrary.org
Concrete bridge decks are critical transportation infrastructure components where
deterioration can compromise structural integrity and public safety. This study develops …

Leveraging Bridge and Environmental Features to Analyze Coating Conditions of Steel Bridges in Florida Using Neural Network Models

MA Rahman, L Zhang, K Lau, X Lv - Journal of Performance of …, 2023 - ascelibrary.org
The safety, integrity, and longevity of steel bridge elements are affected by various
environmental factors, such as moisture, atmospheric pollutants, and temperature. Protective …

[HTML][HTML] An integrated model for selecting bridge structural systems using quality function deployment and analytical hierarchy process

SA Dabous, MAL Ayoub, M Alsharqawi… - Journal of Infrastructure …, 2024 - Elsevier
Selecting an efficient structural system during the conceptual design of bridge projects is an
essential requirement for the project's success and fulfilling stakeholders' expectations. This …