Category

Reliability engineering

Related publications (254)

Fatigue behavior and life prediction of wind turbine blade composite materials

Anastasios Vassilopoulos

Fatigue life prediction of wind turbine rotor blades is a very challenging task, as their failure is led by different failure types that act synergistically. Inherent defects like wrinkles, fiber misalignments, and voids that can be introduced during fabri ...
Woodhead Publishing (Elsevier)2023

Effect of fiber architecture on tension-tension fatigue behavior of bolted basalt composite joints

Thomas Keller, Lulu Liu, Xin Wang

The effect of fiber architecture, i.e., unidirectional (UD) vs. multi-directional (MD), on the tension-tension fa-tigue behavior of bolted double-lap basalt composite joints was experimentally investigated. The fatigue load-life (F -N) curves of MD and UD ...
ELSEVIER SCI LTD2023

Equivalent Frame Models for FRP-Strengthened Masonry Buildings

Fibre-reinforced polymers (FRP) strengthening can be applied to decrease the seismic vulnerability of existing masonry buildings, both with regard to in-plane and out-of-plane failure mechanisms. Experimentally, the impact of strengthening solutions has be ...
Proceedings of the 2nd Croatian Conference on Earthquake Eng2023

Experimental investigation on the bending response of reuse-ready timber slabs – The Pixel Slab System

Corentin Jean Dominique Fivet, Edisson Xavier Estrella Arcos, Johnny Syriani

Current construction practices follow linear economic models of "take-make-dispose" that result in substantial material landfilling after the end-of-life of buildings. This issue takes relevance given the construction industry's significant stake in the hi ...
International Association for Shell and Spatial Structures (IASS)2023

A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis

Jinzhi Lu, Xiaochen Zheng, Jinwei Chen

Gas path fault diagnosis of a gas turbine is a complex task involving field data analysis and knowledge-based reasoning. In this paper, a data-knowledge hybrid driven method for gas path fault diagnosis is proposed by integrating a physical model-based gas ...
MDPI2022

Maintenance scheduling of manufacturing systems based on optimal price of the network

Olga Fink

Goods can exhibit positive externalities impacting decisions of customers in social networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider t ...
2022

Considerations on the partial safety factor format for reinforced concrete structures accounting for multiple failure modes

Aurelio Muttoni, Qianhui Yu, Miguel Fernández Ruiz

The increasing usage of nonlinear analyses for the design of reinforced concrete structures and the necessity of codes of practice to provide a consistent safety format for them is one of the challenges that new generations of codes of practice are facing. ...
ELSEVIER SCI LTD2022

Data-based model maintenance in the era of industry 4.0: A methodology

Antoine Pélissier

Despite the high number of investments for data-based models in the expansion of Industry 4.0, too little effort has been made to ensure the maintenance of those models. In a data-streaming environment, data-based models are subject to concept drifts. A co ...
ELSEVIER SCI LTD2022

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

Mathieu Salzmann, Vincent Lepetit, Yinlin Hu, Van Nguyen Nguyen, Yang Xiao

We present a method that can recognize new objects and estimate their 3D pose in RGB images even under partial occlusions. Our method requires neither a training phase on these objects nor real images depicting them, only their CAD models. It relies on a s ...
IEEE COMPUTER SOC2022

Are socially-aware trajectory prediction models really socially-aware?

Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi

Our transportation field has recently witnessed an arms race of neural network-based trajectory predictors. While these predictors are at the core of many applications such as autonomous navigation or pedestrian flow simulations, their adversarial robustne ...
2022

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