Wave propagation-based tests for concrete piles – an overview | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 1, Volume 53, Issue 5, September and October 2025, Page 175-198 PDF (1.12 MB) | ||||
| Document Type: Review Paper | ||||
| DOI: 10.21608/jesaun.2025.386836.1521 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Reham Samaan  1; Abdelsalaam A. Mokhtar1; Mohamed Saafan1; Ahmed Ebid 2
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| 1Structural Engineering, Faculty of Engineering, Ain Shams University, Cairo, Egypt | ||||
| 2Structural Engineering and Construction Management Dept., Faculty of Engineering and Technology, Future University, New Cairo, Egypt | ||||
| Abstract | ||||
| Non-destructive evaluation techniques for assessing pile foundations have gained significant importance in geotechnical and structural engineering. This study thoroughly assesses the advancements in pile integrity testing from the early days toward current approaches. The study reviews the advancements in pile integrity testing, from early methodologies to modern approaches, while proposing a unique classification of techniques based on their focus: whether they involve the procedure of pile integrity testing or the interpretation of test findings. The analysis declares substantial advancements in testing methodologies, signal processing, and data interpretation techniques for evaluating the structural integrity of deep foundations. The concepts of wave propagation are essential for detecting and evaluating structural flaws, enabling engineers to check pile quality without affecting structural integrity. The review highlights significant issues in pile integrity assessment involving the influence of soil conditions, geometric changes, and material variability on test outcomes. Recent advances have improved the accuracy of flaw detection, enabling real-time monitoring of foundations. Advanced computer techniques now enable more precise test analysis and structural assessments, significantly improving foundation evaluation and safety. This investigation establishes the practical and theoretical basis for implementing advanced machine learning predictive models that combine previous records with pattern recognition algorithms, potentially converting traditional PIT interpretation from an uncertain process to a reliable and precise evaluation system. Conclusions suggest that existing pile integrity testing methods offer thorough solutions for early problem identification and quality assurance in foundation engineering, while also indicating new possibilities for future study and development. | ||||
| Keywords | ||||
| Wave propagation; Non-destructive Tests; Low-strain tests; Pile Integrity Test; Structural health monitoring | ||||
| References | ||||
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