Open Access

REVIEW

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 - 07 September 2021
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… More >

View

3124

Download

1476

Like

1

Open Access

ARTICLE

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 - 07 September 2021
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… More >

View

1908

Download

1423

Like

2

Cited by

1

Open Access

ARTICLE

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 - 07 September 2021
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:… More >

View

2013

Download

1281

Open Access

ARTICLE

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 - 07 September 2021
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… More >

View

2147

Download

1464

Open Access

ARTICLE

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 - 07 September 2021
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 More >

View

2458

Download

1294

Like

2

Cited by

2