Open Access

ARTICLE

Li Hui^1,*, Faress Hraib², Mohammad Rahman³, Miguel Vicente⁴, Riyadh Hindi³
Structural Durability & Health Monitoring, Vol.15, No.4, pp. 281-297, 2021, DOI:10.32604/sdhm.2021.016495 - 23 November 2021
Abstract Traditional bridge monitoring systems often require wired connections between sensors, a data acquisition system, and data center. The use of extension wires, conduits, and other costly accessories can dramatically increase the total cost of bridge monitoring. With the development of wireless technologies and the notable cost benefits, many researchers have been integrating wireless networks into bridge monitoring system. In this study, a wireless bridge monitoring system has been developed based on the Sub-1 GHz network. The main functional components of this system include sensors, wireless nodes, gateway and data center. Wireless nodes can convert analog… More >

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1292

Open Access

ARTICLE

Xudong Wang^1,2, Changqing Miao^1,2,*, Mao Yang^1,2, Youliang Ding^1,2
Structural Durability & Health Monitoring, Vol.15, No.4, pp. 299-316, 2021, DOI:10.32604/sdhm.2021.017526 - 23 November 2021
Abstract This study presents an investigation on the fatigue analysis of four types of details on orthotropic steel decks (OSDs) for a cable-stayed super-wide steel box girder bridge based on finite-element analysis (FEA) with vehicle transverse distribution model (VTDM). A high-fidelity 3D FE model verified by the static load test is established to satisfy the fatigue analysis accuracy. The stress behavior of super-wide steel box girders under the vehicle load at different lane locations is investigated. Then, considering the effect of VTDM, the fatigue life analysis of four typical details is performed using the Miner cumulative More >

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2026

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1307

Open Access

ARTICLE

S. Kalyani^*, K. Venkata Rao, A. Mary Sowjanya
Structural Durability & Health Monitoring, Vol.15, No.4, pp. 317-334, 2021, DOI:10.32604/sdhm.2021.016975 - 23 November 2021
Abstract Internet of Things systems generate a large amount of sensor data that needs to be analyzed for extracting useful insights on the health status of the machine under consideration. Sensor data of all possible states of a system are used for building machine learning models. These models are further used to predict the possible downtime for proactive action on the system condition. Aircraft engine data from run to failure is used in the current study. The run to failure data includes states like new installation, stable operation, first reported issue, erroneous operation, and final failure.… More >

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1149

Open Access

ARTICLE

Mohammad Akhtar¹, Abdulsamee Halahla², Amin Almasri^3,*
Structural Durability & Health Monitoring, Vol.15, No.4, pp. 335-348, 2021, DOI:10.32604/sdhm.2021.015988 - 23 November 2021
Abstract This research aims to study the effect of elevated temperature on the compressive strength evolution of concrete made with recycled aggregate. Demolished building concrete samples were collected from four different sites in Saudi Arabia, namely from Tabuk, Madina, Yanbu, and Riyadh. These concretes were crushed and recycled into aggregates to be used to make new concrete samples. These samples were tested for axial compressive strength at ages 3, 7, 14, and 28 days at ambient temperature. Samples of the same concrete mixes were subjected to the elevated temperature of 300°C and tested for compressive strength More >

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1334

Open Access

ARTICLE

Belal Almassri^1,*, Ali Safiyeh²
Structural Durability & Health Monitoring, Vol.15, No.4, pp. 349-366, 2021, DOI:10.32604/sdhm.2021.016889 - 23 November 2021
Abstract This study focuses on advanced finite element (FE) analyses on The Church of Nativity located in Bethlehem (Palestine), one of the most historic structures in the world. To ensure the model quality, a 3D FE model was created using two types of typical commercial software, DIANA FEA and SAP2000. From analyses, one of the expected behaviors for this kind of masonry structure “low modal period” was found. The seismic behavior of the church was studied using pushover analyses, which were conducted using DIANA FEA. The first unidirectional mass proportional load pattern was created in both… More >

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