Coordinating occupant behavior for building energy and comfort management using multi-agent systems

L Klein, J Kwak, G Kavulya, F Jazizadeh… - Automation in …, 2012 - Elsevier
There is growing interest in reducing building energy consumption through increased
sensor data and increased computational support for building controls. The goal of reduced …

Maintenance and operation of infrastructure systems

M Sánchez-Silva, DM Frangopol, J Padgett… - Journal of Structural …, 2016 - ascelibrary.org
Infrastructure management plays an important role in sustainable development and is
essential for the evaluation of the socioeconomic feasibility of existing projects and the …

[HTML][HTML] Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems

G Arcieri, C Hoelzl, O Schwery, D Straub… - Reliability Engineering & …, 2023 - Elsevier
Abstract Structural Health Monitoring (SHM) describes a process for inferring quantifiable
metrics of structural condition, which can serve as input to support decisions on the …

Assessing the value of information for long-term structural health monitoring

M Pozzi, A Der Kiureghian - Health monitoring of structural …, 2011 - spiedigitallibrary.org
In the field of Structural Health Monitoring, tests and sensing systems are intended as tools
providing diagnoses, which allow the operator of the facility to develop an efficient …

Bridge maintenance planning framework using machine learning, multi-attribute utility theory and evolutionary optimization models

H Jaafaru, B Agbelie - Automation in Construction, 2022 - Elsevier
Although various tools and procedures have been developed to help transportation
engineers objectively evaluate bridge maintenance needs, selecting and scoping projects …

POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance

G Arcieri, C Hoelzl, O Schwery, D Straub… - Machine Learning, 2024 - Springer
Abstract Partially Observable Markov Decision Processes (POMDPs) can model complex
sequential decision-making problems under stochastic and uncertain environments. A main …

A multi-year pavement maintenance program using a stochastic simulation-based genetic algorithm approach

P Chootinan, A Chen, MR Horrocks… - … Research Part A: Policy …, 2006 - Elsevier
The objective of this paper is to introduce a multi-year pavement maintenance programming
methodology that can explicitly account for uncertainty in pavement deterioration. This is …

Life-cycle optimization of pavement overlay systems

H Zhang, GA Keoleian, MD Lepech… - Journal of infrastructure …, 2010 - ascelibrary.org
Preservation (maintenance and rehabilitation) strategy is the critical factor controlling
pavement performance. A life-cycle optimization (LCO) model was developed to determine …

History-dependent bridge deck maintenance and replacement optimization with Markov decision processes

CA Robelin, SM Madanat - Journal of infrastructure systems, 2007 - ascelibrary.org
Bridge maintenance and replacement optimization methods use deterioration models to
predict the future condition of bridge components. The purpose of this paper is to develop a …

Optimal adaptive inspection and maintenance planning for deteriorating structural systems

E Bismut, D Straub - Reliability Engineering & System Safety, 2021 - Elsevier
Optimizing inspection and maintenance (I&M) plans for a large deteriorating structure is a
computationally challenging task, in particular if one considers interdependences among its …