Practical Implementation of Structural Health Monitoring in Multi-Story Buildings

Sivasuriyan, Arvindan; Vijayan, Dhanasingh Sivalinga; Górski, Wojciech; Wodzyński, Łukasz; Vaverková, Magdalena Daria; Koda, Eugeniusz

doi:10.3390/buildings11060263

Cited by 66 publications

(27 citation statements)

References 157 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the conclusions of Grygierek's work, scientists' predictions of global warming should be considered in the design process of buildings for thermal isolation thicknesses [58]. As a result, a designed building with a lower primary energy demand will reduce the consumption of natural resources and reduce CO 2 emissions into the atmosphere [59][60][61].…”

Section: Discussionmentioning

confidence: 99%

Design of Passive Building Foundations in the Polish Climatic Conditions

et al. 2021

Self Cite

View full text Add to dashboard Cite

A Passive House (PH) system is not only an opportunity but also a necessity for the further development of sustainable eco-buildings. Construction of the foundation in energy-efficient houses is the key to maintaining low energy losses. The appropriate selection of building materials requires considering the thermal conditions of the environment, including its location and the zero isotherms in the ground. The main objective of this work is to analyze the possibilities of designing foundations for PHs in Poland, according to the current methodological data. In order to realize the basic aims, the work was divided into the following materials and methods: (I) literature review; (II) database of PH in Central Europe; (III) method of depth of ground freezing determination; (IV) selection of the joint of slab-on-ground foundation and external wall to analysis; (V) description and validation of the heat-transfer model. The result of the research work is: (i) analysis of the foundation under the conditions of freezing of the ground in Poland; (ii) description and validation of the heat-transfer model. The research has revealed that in the Polish climate zone, the most efficient solution for passive buildings is to build them on a foundation slab. The foundation of a building below the latest specified ground frost depths in Poland is inefficient in terms of, for example, thermal insulation, economics, and the idea of PH.

show abstract

Section: Discussionmentioning

confidence: 99%

Design of Passive Building Foundations in the Polish Climatic Conditions

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Various novel strain sensors for SHM have been extensively studied [19]. For example, Tondolo et al [20] designed a smart steel system to measure the strain of reinforced concrete members by implanting a commercial barometric pressure MEMS sensor into an appropriate sealed cavity in the reinforcement.…”

Section: Introductionmentioning

confidence: 99%

Critical Experiments for Structural Members of Micro Image Strain Sensing Sensor Based on Smartphone and Microscope

et al. 2022

View full text Add to dashboard Cite

Strain is one of the key concerns of structural health monitoring (SHM), and effective measurement of structural strain is very important for structural health condition assessment. The purpose of this paper is to investigate the application of the micro image strain sensing (MISS) sensor based on smartphone and microscope for measuring strain parameters of structural members. Firstly, metal tensile tests were performed to verify the effectiveness of the MISS sensor, and the strain results measured by the fiber Bragg grating (FBG) sensor and the MISS sensor were compared. The results showed that the mean error between the MISS and FBG sensor measured results is 7.1 με in the metal tensile test. Then, a concrete beam bending test was carried out; the mean relative error of strain values between the FBG sensor and the MISS sensor is 2.5%. Overall, the strain measurements of the MISS sensor matched well with those from the FBG sensor in each experiment. This study validates the reliability and accuracy of the MISS sensor for strain detection and the MISS sensors can play a more powerful role in SHM due to their robustness, simplicity, and low cost.

show abstract

“…Over the past decades, a great deal of research has been conducted for structural identification in either the frequency domain [1][2][3][4][5] or the time domain [6][7][8][9][10]. It should be noted that almost all of the studies reviewed above assume that structural mass is known when structural systems are identified.…”

Section: Introductionmentioning

confidence: 99%

A Joint State-Parameter Identification Algorithm of a Structure with Non-Diagonal Mass Matrix Based on UKF with Unknown Mass

Wang

Lei

2022

Buildings

View full text Add to dashboard Cite

Inaccurate mass estimates have been recognized as an important source of uncertainty in structural identification, especially for large-scale structures with old ages. Over the past decades, some identification algorithms for structural states and unknown parameters, including unknown mass, have been proposed by researchers. However, most of these identification algorithms are based on the simplified mechanical model of chain-like structures. For a chain-like structure, the mass matrix and its inverse matrix are diagonal matrices, which simplify the difficulty of identifying the structure with unknown mass. However, a structure with a non-diagonal mass matrix is not of such a simple characteristic. In this paper, an online joint state-parameter identification algorithm based on an Unscented Kalman filter (UKF) is proposed for a structure with a non-diagonal mass matrix under unknown mass using only partial acceleration measurements. The effectiveness of the proposed algorithm is verified by numerical examples of a beam excited by wide-band white noise excitation and a two-story one-span plane frame structure excited by filtered white noise excitation generated according to the Kanai–Tajimi power spectrum. The identification results show that the proposed algorithm can effectively identify the structural state, unknown stiffness, damping and mass parameters of the structures.

show abstract

Practical Implementation of Structural Health Monitoring in Multi-Story Buildings

Cited by 66 publications

References 157 publications

Design of Passive Building Foundations in the Polish Climatic Conditions

Design of Passive Building Foundations in the Polish Climatic Conditions

Critical Experiments for Structural Members of Micro Image Strain Sensing Sensor Based on Smartphone and Microscope

A Joint State-Parameter Identification Algorithm of a Structure with Non-Diagonal Mass Matrix Based on UKF with Unknown Mass

Contact Info

Product

Resources

About