Unveiling the Critical Gap in Bamboo Furniture Durability: A Systematic Review and Science Mapping Analysis of Fatigue Performance and Stiffness Degradation in Connections

Kishor Gaikwad; Irshad Ali Saudagar; Kantilal Gajbhiye; Shubham Godde; Manoj Khairnar

doi:10.69968/ijisem.2026v5i2177-184

Authors

Kishor Gaikwad Bamboo Research and Training Centre, Chandrapur - Mul - Nagbhir - Nagpur Hwy, Chichpalli, Maharashtra 441224
Irshad Ali Saudagar Bamboo Research and Training Centre, Chandrapur - Mul - Nagbhir - Nagpur Hwy, Chichpalli, Maharashtra 441224
Kantilal Gajbhiye Bamboo Research and Training Centre, Chandrapur - Mul - Nagbhir - Nagpur Hwy, Chichpalli, Maharashtra 441224
Shubham Godde Bamboo Research and Training Centre, Chandrapur - Mul - Nagbhir - Nagpur Hwy, Chichpalli, Maharashtra 441224
Manoj Khairnar Bamboo Research and Training Centre, Chandrapur - Mul - Nagbhir - Nagpur Hwy, Chichpalli, Maharashtra 441224

DOI:

https://doi.org/10.69968/ijisem.2026v5i2177-184

Keywords:

Bamboo furniture , Fatigue life , Knock-down joints , Stiffness degradation , Bibliometric analysis , Engineered bamboo , Serviceability

Abstract

The adoption of bamboo as a sustainable material in furniture manufacturing has increased considerably in recent years. While the static mechanical behavior of engineered bamboo products such as laminated bamboo lumber and bamboo scrimber has been examined extensively, the long-term performance of knock-down (KD) connections under cyclic loading remains inadequately understood. This paper presents a systematic literature review combined with bibliometric analysis of 842 peer-reviewed publications from Web of Science and Scopus databases covering the period 2000–2024. A structured screening methodology following PRISMA guidelines was employed. The results demonstrate a substantial imbalance: approximately 68% of studies address static strength, whereas less than 5% investigate fatigue behavior. The analysis identifies stiffness degradation resulting from progressive crushing of parenchyma tissue and hole elongation as the predominant serviceability failure mechanism. Based on this synthesis, a hybrid diagnostic framework incorporating digital image correlation, acoustic emission monitoring, and machine learning is proposed for predicting fatigue life. The findings establish a foundation for future experimental investigations and support the development of performance-based design provisions for bamboo furniture connections.

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