Experimental Investigation on the Mechanical Properties of Curved Metallic Plate Dampers

Jin, Zheng; Zhang, Chunwei; Li, Aiqun

doi:10.3390/app10010269

Cited by 68 publications

(19 citation statements)

References 38 publications

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“…Seismic vibration control is, in conjunction with SHM, another very important field for safety management [122][123][124]. In order to improve the stability of the structure when an earthquake occurs, the active controller and the passive base-isolated systems are generally integrated together [125].…”

Section: Dl-based Seismic Vibration Control For Shmmentioning

confidence: 99%

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

et al. 2021

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Safety is an essential topic to the architecture, engineering and construction (AEC) industry. However, traditional methods for structural health monitoring (SHM) and jobsite safety management (JSM) are not only inefficient, but also costly. In the past decade, scholars have developed a wide range of deep learning (DL) applications to address automated structure inspection and on-site safety monitoring, such as the identification of structural defects, deterioration patterns, unsafe workforce behaviors and latent risk factors. Although numerous studies have examined the effectiveness of the DL methodology, there has not been one comprehensive, systematic, evidence-based review of all individual articles that investigate the effectiveness of using DL in the SHM and JSM industry to date, nor has there been an examination of this body of evidence in regard to these methodological problems. Therefore, the objective of this paper is to disclose the state of the art of current research progress and determine the relevant gaps, challenges and future work. Methodically, CiteSpace was employed to summarize the research trends, advancements and frontiers of DL applications from 2010 to 2020. Next, an application-focused literature review was conducted, which led to a summary of research gaps, recommendations and future research directions. Overall, this review gains insight into SHM and JSM and aims to help researchers formulate more types of effective DL applications which have not been addressed sufficiently for the time being.

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Section: Dl-based Seismic Vibration Control For Shmmentioning

confidence: 99%

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

et al. 2021

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“…Shea et al [ 23 ] stated the aim of GD is to ‘‘explore creative and constructable designs by creating new design processes using the latest computing and manufacturing capabilities’’. With development of computer power and growing interest of researchers and practitioners, GD has become a new intelligent design approach and has been studied and applied in many fields academically and practically [ 8 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ].…”

Section: Generative Design and Building Information Modellingmentioning

confidence: 99%

Generative Design in Building Information Modelling (BIM): Approaches and Requirements

Wang

et al. 2021

Sensors

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The integration of generative design (GD) and building information modelling (BIM), as a new technology consolidation, can facilitate the constructability of GD’s automatic design solutions, while improving BIM’s capability in the early design phase. Thus, there has been an increasing interest to study GD-BIM, with current focuses mainly on exploring applications and investigating tools. However, there are a lack of studies regarding methodological relationships and skill requirement based on different development objectives or GD properties; thus, the threshold of developing GD-BIM still seems high. This study conducts a critical review of current approaches for developing GD in BIM, and analyses methodological relationships, skill requirements, and improvement of GD-BIM development. Accordingly, novel perspectives of objective-oriented, GD component-based, and skill-driven GD-BIM development as well as reference guides are proposed. Finally, future research directions, challenges, and potential solutions are discussed. This research aims to guide designers in the building industry to properly determine approaches for developing GD-BIM and inspire researchers’ future studies.

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“…Mechanical properties of solids elaborate the characteristics such as the resistance to deformation and their strength. These properties play an important role in determining potency of solids in various applications [136][137][138][139][140][141][142].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

Recent innovations in properties of nanostructured glasses and composites

Deepika¹,

Dixit

Singh

et al. 2021

Journal of Experimental Nanoscience

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The thrust to invent new materials and technology has been ever increasing due to technological challenges in progressive world. Among new materials, nanomaterials possess superior optical, electrical, magnetic, mechanical, and thermal properties, which have made them suitable for a multitude of applications. The present review paper deals with recent advances in properties of nanostructured glasses and composites in terms optical, electrical, mechanical and thermal properties. A brief discussion has been done on fabrication method of nanostructured glasses. The review of optical properties shows that nanostructured glasses show both direct and indirect band gap and this tuning of band gap depends on extent of nano structuring of samples. The electrical properties also show enhancement in electrical conductivity on nano-structuring of glasses compared to their bulk counterparts. The changes in mechanical and thermal properties of nanostructured glasses and composites are attributed to many microstructural features like grain size and shape, their distribution, pores and their distribution, other flaws/defects and their distribution, surface condition, impurity level, second phases/dopants, stress, duration of its application and temperature effect on the samples. Literature reports that nano structuring leads to enhanced phonon boundary scattering which reduces the thermal conductivity.

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Experimental Investigation on the Mechanical Properties of Curved Metallic Plate Dampers

Cited by 68 publications

References 38 publications

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

Generative Design in Building Information Modelling (BIM): Approaches and Requirements

Recent innovations in properties of nanostructured glasses and composites

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