Structural Durability & Health Monitoring

ISSN: 1930-2983 (print)
ISSN: 1930-2991 (online) Publication Frequency: Quarterly

About the Journal

In order to maintain a reasonable cost for large scale structures such as airframes, offshore structures, nuclear plants etc., it is generally accepted that improved methods for structural integrity and durability assessment are required. Structural Health Monitoring (SDHM) had emerged as an active area of research for fatigue life and damage accumulation prognostics.

Indexing and Abstracting

Scopus Citescore (Impact per Publication 2020): 1.8; SNIP (Source Normalized Impact per Paper 2020): 0.544; RG Journal Impact (average over last three years); Engineering Index (Compendex); Applied Mechanics Reviews; Cambridge Scientific Abstracts: Aerospace and High Technology, Materials Sciences & Engineering, and Computer & Information Systems Abstracts Database; INSPEC Databases; Mechanics; Science Navigator; Portico, etc...

Current Issue - Vol.15, No.3, 2021 Most Viewed

OPEN ACCESS
REVIEW
Digital Twin-Driven Intelligent Construction: Features and Trends
Hao Zhang¹, Yongqi Zhou¹, Huaxin Zhu², Dragoslav Sumarac^1,3, Maosen Cao^4,*
Structural Durability & Health Monitoring, Vol.15, No.3, pp. 183-206, 2021, DOI:10.32604/sdhm.2021.018247
Abstract Digital twin (DT) can achieve real-time information fusion and interactive feedback between virtual space and physical space. This technology involves a digital model, real-time information management, comprehensive intelligent perception networks, etc., and it can drive the rapid conceptual development of intelligent construction (IC) such as smart factories, smart cities, and smart medical care. Nevertheless, the actual use of DT in IC is partially pending, with numerous scientific factors still not clarified. An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC. To this end, this study aims to provide a comprehensive review… More
Views:251 Downloads:184 Download PDF

OPEN ACCESS
ARTICLE
Fatigue Crack Detection in Steel Plates Using Guided Waves and an Energy-Based Imaging Approach
Mingyu Lu^1,*, Kaige Zhu¹, Qiang Wang²
Structural Durability & Health Monitoring, Vol.15, No.3, pp. 207-225, 2021, DOI:10.32604/sdhm.2021.017720
Abstract The increasing use of ultrasonic guided waves (GWs) has been shown to have great potential for the detection of fatigue cracks and non-fatigue type damages in metallic structures. This paper reports on a study demonstrating an energy-based damage imaging approach in which signal characteristics identified through relative time differences by fatigue crack (RTD/f) through different sensor paths are used to estimate the location of fatigue crack in steel plates based on GWs generated by an active piezoceramic transducer (PZT) network. The propagation of GWs in the original 10 mm-thick plate was complicated due to its thick geometry, wave dispersion, boundary… More
Views:219 Downloads:182 Download PDF

OPEN ACCESS
ARTICLE
Damage Detection in CFST Column by Simulation of Ultrasonic Waves Using STFT-Based Spectrogram and Welch Power Spectral Density Estimate
Nadom K. Mutlib^1,*, Muna N. Ismael¹, Shahrizan Baharom²
Structural Durability & Health Monitoring, Vol.15, No.3, pp. 227-246, 2021, DOI:10.32604/sdhm.2021.010725
Abstract Structural health monitoring employs different tools and techniques to provide a prediction for damages that occur in various structures. Damages such as debond and cracks in concrete-filled steel tube column (CFST) are serious defects that threaten the integrity of the structural members. Ultrasonic waves monitoring applied to the CFST column is necessary to detect damages and quantify their size. However, without appropriate signal processing tools, the results of the monitoring process could not be crucial. In this research, a monitoring process based on a Multiphysics numerical simulation study was carried out. Two signal processing tools: short time Fourier transform (STFT)… More
Views:216 Downloads:153 Download PDF

OPEN ACCESS
ARTICLE
Effect of Lead-Rubber Bearing Isolators in Reducing Seismic Damage for a High-Rise Building in Comparison with Normal Shear Wall System
Mahmoud Fakih^1,*, Jaafar Hallal¹, Hassan Darwich², Hala Damerji³
Structural Durability & Health Monitoring, Vol.15, No.3, pp. 247-260, 2021, DOI:10.32604/sdhm.2021.015174
Abstract Seismic earthquakes are a real danger for the construction evolution of high rise buildings. The rate of earthquakes around the world is noteworthy in a wide range of construction areas. In this study, we present the dynamic behavior of a high-rise RC building with dynamic isolators (lead-rubber-bearing), in comparison with a traditional shear wall system of the same building. Seismic isolation has been introduced in building construction to increase the structural stability and to protect the non-structural components against the damaging effects of an earthquake. In order to clarify the influence of incorporating lead rubber bearing isolators in the seismic… More
Views:241 Downloads:154 Download PDF

OPEN ACCESS
ARTICLE
Influence of Unbalance on Classification Accuracy of Tyre Pressure Monitoring System Using Vibration Signals
P. S. Anoop¹, Pranav Nair², V. Sugumaran^1,*
Structural Durability & Health Monitoring, Vol.15, No.3, pp. 261-279, 2021, DOI:10.32604/sdhm.2021.06656
Abstract Tyre Pressure Monitoring Systems (TPMS) are installed in automobiles to monitor the pressure of the tyres. Tyre pressure is an important parameter for the comfort of the travelers and the safety of the passengers. Many methods have been researched and reported for TPMS. Amongst them, vibration-based indirect TPMS using machine learning techniques are the recent ones. The literature reported the results for a perfectly balanced wheel. However, if there is a small unbalance, which is very common in automobile wheels, ‘What will be the effect on the classification accuracy?’ is the question on hand. This paper attempts to study the… More
Views:222 Downloads:156 Download PDF

OPEN ACCESS
ARTICLE
Kinematic Analysis and Rock Mass Classifications for Rock Slope Failure at USAID Highways
Ibnu Rusydy^1,3,*, Nafisah Al-Huda^1,2, M. Fahmi⁴, Naufal Effendi⁴
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 379-398, 2019, DOI:10.32604/sdhm.2019.08192
Abstract Rock slope kinematic analysis and rock mass classifications has been conducted at the 17^th km to 26^th km of USAID (United States Agency for International Development) highway in Indonesia. This research aimed to examine the type of rock slope failures and the quality of rock mass as well. The scan-line method was performed in six slopes by using a geological compass to determine rock mass structure on the rock slope, and the condition of joints such as persistence, aperture, roughness, infilling material, weathering and groundwater conditions. Slope kinematic analysis was performed employing a stereographic projection. The rock slope quality and… More
Views:5792 Downloads:3651 Download PDF

OPEN ACCESS
ARTICLE
Nonlinear Micromechanical Modelling of Transverse Tensile Damage Behavior in Fiber-Reinforced Polymer Composites
Nian Li^*
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 331-346, 2019, DOI:10.32604/sdhm.2019.07521
Abstract The investigation focusing on the mechanical behaviors at the microstructural level in composite materials can provide valuable insight into the failure mechanisms at larger scales. A micromechanics damage model which comprises the coupling of the matrix constitutive model and the cohesive zone (CZM) model at fiber-matrix interfaces is presented to evaluate the transverse tensile damage behaviors of unidirectional (UD) fiber-reinforced polymer (FRP) composites. For the polymeric matrix that exhibits highly non-linear mechanical responses, special focus is paid on the formulation of the constitutive model, which characterizes a mixture of elasticity, plasticity as well as damage. The proposed constitutive model includes… More
Views:4213 Downloads:2139 Download PDF

OPEN ACCESS
ARTICLE
Fiber Grating-Based Strain Sensor Array for Health Monitoring of Pipelines
Hui Wang¹, Songyou Li², Lei Liang^3,*, Gang Xu^4,5, Bin Tu⁶
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 347-359, 2019, DOI:10.32604/sdhm.2019.05139
Abstract Pipelines are one of the most important modern energy transportation methods, used especially for the transportation of certain dangerous energy media materials such as crude oil, natural gas, and chemical raw materials. New requirements have been put forward for the health monitoring and early security warning of pipelines because of the large-scale and complicated development trend of the pipe network system. To achieve an accurate assessment of the health conditions of pipeline infrastructure, obtaining as many precise operating parameters as possible, particularly at some critical parts of the pipeline, is necessary. Therefore, a novel type of fiber grating strain sensor… More
Views:3102 Downloads:2209 Download PDF

OPEN ACCESS
REVIEW
System Identification of Heritage Structures Through AVT and OMA: A Review
Vinay Shimpi¹, Madappa V. R. Sivasubramanian^1,*, S. B. Singh²
Structural Durability & Health Monitoring, Vol.13, No.1, pp. 1-40, 2019, DOI:10.32604/sdhm.2019.05951
Abstract In this review article, the past investigations carried out on heritage structures using Ambient Vibration Test (AVT) and Operational Modal Analysis (OMA) for system identification (determination of dynamic properties like frequency, mode shape and damping ratios) and associated applications are summarized. A total of 68 major research studies on heritage structures around the world that are available in literature are surveyed for this purpose. At first, field investigations carried out on heritage structures prior to conducting AVT are explained in detail. Next, specifications of accelerometers, location of accelerometers and optimization of accelerometer networks have been elaborated with respect to the… More
Views:3006 Downloads:1945 Download PDF

OPEN ACCESS
ARTICLE
Comparative Study on Tree Classifiers for Application to Condition Monitoring of Wind Turbine Blade through Histogram Features Using Vibration Signals: A Data-Mining Approach
A. Joshuva^1,*, V. Sugumaran²
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 399-416, 2019, DOI:10.32604/sdhm.2019.03014
Abstract Wind energy is considered as a alternative renewable energy source due to its low operating cost when compared with other sources. The wind turbine is an essential system used to change kinetic energy into electrical energy. Wind turbine blades, in particular, require a competitive condition inspection approach as it is a significant component of the wind turbine system that costs around 20-25 percent of the total turbine cost. The main objective of this study is to differentiate between various blade faults which affect the wind turbine blade under operating conditions using a machine learning approach through histogram features. In this… More
Views:2975 Downloads:2111 Download PDF

OPEN ACCESS
ARTICLE
Seismic Reliability Assessment of Inelastic SDOF Systems Subjected to Near-Fault Ground Motions Considering Pulse Occurrence
Jilei Zhou^1,*, Chuansong Sun¹, Xiangjun Dai¹, Guohai Chen²
Structural Durability & Health Monitoring, Vol.13, No.4, pp. 361-378, 2019, DOI:10.32604/sdhm.2019.05171
Abstract The ground motions in the orientation corresponding to the strongest pulse energy impose more serious demand on structures than that of ordinary ground motions. Moreover, not all near-fault ground motion records present distinct pulses in the velocity time histories. In this paper, the parameterized stochastic model of near-fault ground motion with the strongest energy and pulse occurrence probability is suggested, and the Monte Carlo simulation (MSC) and subset simulation are utilized to calculate the first excursion probability of inelastic single-degree-of-freedom (SDOF) systems subjected to these types of near-fault ground motion models, respectively. Firstly, the influences of variation of stochastic pulse… More
Views:2928 Downloads:2365 Download PDF