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Article
Publication date: 12 April 2024

Xiaodong Yu, Guangqiang Shi, Hui Jiang, Ruichun Dai, Wentao Jia, Xinyi Yang and Weicheng Gao

This paper aims to study the influence of cylindrical texture parameters on the lubrication performance of static and dynamic pressure thrust bearings (hereinafter referred to as…

Abstract

Purpose

This paper aims to study the influence of cylindrical texture parameters on the lubrication performance of static and dynamic pressure thrust bearings (hereinafter referred to as thrust bearings) and to optimize their lubrication performance using multiobjective optimization.

Design/methodology/approach

The influence of texture parameters on the lubrication performance of thrust bearings was studied based on the modified Reynolds equation. The objective functions are predicted through the BP neural network, and the texture parameters were optimized using the improved multiobjective ant lion algorithm (MOALA).

Findings

Compared with smooth surface, the introduction of texture can improve the lubrication properties. Under the optimization of the improved algorithm, when the texture diameter, depth, spacing and number are approximately 0.2 mm, 0.5 mm, 5 mm and 34, respectively, the loading capacity is increased by around 27.7% and the temperature is reduced by around 1.55°C.

Originality/value

This paper studies the effect of texture parameters on the lubrication properties of thrust bearings based on the modified Reynolds equation and performs multiobjective optimization through an improved MOALA.

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 23 March 2023

Khalid A. Hilu and Mohammed A. Hiyassat

Due to the recent increase in unexpected events that negatively affect projects, the concept of resilience has grasped the attention of researchers, as risk management alone fails…

Abstract

Purpose

Due to the recent increase in unexpected events that negatively affect projects, the concept of resilience has grasped the attention of researchers, as risk management alone fails to address unpredicted events. This study aims to identify resilience dimensions and their designated factors and then construct a comprehensive definition for resilience in construction projects.

Design/methodology/approach

This paper adopted a qualitative research design through content analysis of semi-structured interviews with project engineers on behalf of their construction project; 26 interviews were analyzed via ATLAS.ti.

Findings

The results demonstrate that resilience in construction projects consists of four main dimensions: preparation, absorption, recovery and adaptation; each dimension comprises separate factors. The evidence from this study demonstrates that the resilience of the organization, project team and project manager supports the construction project when facing unpredicted or abnormal conditions.

Practical implications

The results of this paper will help construction project managers to enhance the resilience of their projects by providing different resilience factors.

Originality/value

The resilience concept in projects is novel and has limited knowledge available, especially in construction projects therefore, it requires additional comprehensive discussion and validation. The findings of this paper will serve as a cornerstone for the development of the resilience field and enrich the indigent literature on resilience in the construction industry.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

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