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Article
Publication date: 20 November 2024

Chenxia Zhou, Zhikun Jia, Shaobo Song, Shigang Luo, Xiaole Zhang, Xingfang Zhang, Xiaoyuan Pei and Zhiwei Xu

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their…

Abstract

Purpose

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

Design/methodology/approach

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

Findings

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

Originality/value

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.

Details

Sensor Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 4 December 2020

Fei Qi, Bai Chen, Shigang She and Shuyuan Gao

This paper aims to present a shape sensing method and feedback control strategy based on fiber Bragg grating (FBG) sensor to improve the control accuracy of the robot and ensure…

Abstract

Purpose

This paper aims to present a shape sensing method and feedback control strategy based on fiber Bragg grating (FBG) sensor to improve the control accuracy of the robot and ensure the safety of the cardiac interventional surgery.

Design/methodology/approach

To theoretically describe the shape of the catheter robot, the kinematic model is established by the geometric analysis method. And to obtain the actual shape, a large curvature assemble sensor based on FBG is adopted and a novel simple shape reconstruction model is proposed, which can provide the shape curve and distal position. In addition, the influence of external load on the bending deformation is investigated by experiments. To improve the shape accuracy of the robot, a shape feedback control method is presented to control the catheter robot, which can control the robot to bend into the pre-given desired shape.

Findings

Experiment results verify the effectiveness of the shape sensing method and the reconstruction model, and the correlation coefficients of three sets of curve in different coordinate directions are 0.9986, 0.9992 and 0.9999. Results of the shape feedback experiment show that the curvature error and direction angle error are 1.42% and 10.3%, respectively. The continuum catheter robot can be controlled to achieve the desired bending shape.

Originality/value

The shape reconstruction method and feedback control strategy proposed in this paper can improve the control accuracy of the robot to avoid the risk of the collision with the surrounding blood vessels, the tissues and organs.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 15 August 2008

David A.S. Chew, Shigang Yan and Charles Y.J. Cheah

The purpose of this paper is to examine the relationship between a number of variables pertaining to core capability, competitive strategy and performance of construction small to…

2845

Abstract

Purpose

The purpose of this paper is to examine the relationship between a number of variables pertaining to core capability, competitive strategy and performance of construction small to medium size enterprises (SMEs) in China.

Design/methodology/approach

The paper consists of a quantitative survey. It involves mainly the development of instrument and testing of the hypotheses.

Findings

Core capability and competitive strategy are found to influence construction SMEs' performance. Moreover, there are positive relationships between core capability and competitive strategy. This suggests a need to align core capability and competitive strategy as a precondition for superior performance.

Research limitations/implications

The paper has limitations as a result of data collection. A somewhat larger sample would obviously permit firmer conclusions to be drawn from the results of the statistical analysis.

Originality/value

This paper will contribute to the literature on SMEs, strategic management and resource‐based theory. This integration of scope is particularly new to the context of the Chinese construction industry. Similarly, this research will have implications for practice. The research findings help SMEs' managers to understand the impact of the unique resources of their enterprises and competitive strategy.

Details

Chinese Management Studies, vol. 2 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

Open Access
Article
Publication date: 10 December 2021

Xian Zhang

Karl Marx's social capital reproduction theory is his significant contribution to economics. The purpose of this paper is to review the contributions of the exploration of Chinese…

1107

Abstract

Purpose

Karl Marx's social capital reproduction theory is his significant contribution to economics. The purpose of this paper is to review the contributions of the exploration of Chinese economists (especially Professor Liu Guoguang) in the concretization of Marx’s social capital reproduction theory combined with socialist construction since 1949.

Design/methodology/approach

During this process, Professor Liu Guoguang, a famous Chinese Marxist economist, has made an outstanding contribution by creating a Marxist social capital reproduction model with Chinese characteristics and a distinctive Marxist economic growth model. Professor Liu's exploration is still of crucial practical significance to building a socialist market economy today.

Findings

The process and achievements in the sinicization exploration of Marx's social capital reproduction theory were reviewed. With the reform and opening up, fundamental changes have occurred in China's economic system – the centralized planned economic system has been transformed into a socialist market economic system.

Originality/value

The planned management of the national economy is replaced by a macro-regulation system characterized by gross control gradually, and the concepts of agriculture, light industry, and heavy industry, and their intercorrelation are no longer applied in theory and policy. However, the sinicization exploration of Marx's social capital reproduction theory in the older generation of Marxist economists represented by Liu is not only of historical significance but also of important practical significance.

Details

China Political Economy, vol. 4 no. 2
Type: Research Article
ISSN: 2516-1652

Keywords

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