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<p>Concrete pavements are preferred over bituminous pavements because of their longer life span and minimal maintenance cost. Concrete used in paving applications is designed using a somewhat different procedure and is usually called pavement quality concrete (PQC). It is often necessary to assess the strength of PQC at an early age to decide on opening the concrete pavement to traffic. The present study proposes an economical and innovative system based on the Internet of Things (IoT) that can monitor the compressive and flexural strength of PQC in real time at an early age of PQC. Three selected PQC mixes of M30, M40 and M50 grades commonly used in concrete pavements are selectively used to demonstrate the working of the proposed IoT-based system. The maturity-strength relationships for these three PQC mixes are made per the relevant standards. The compressive and flexural strength of PQC mixes is predicted and logged using the obtained maturity-strength relationships. The results obtained from this study match the actual compressive and flexural strength of respective PQC mixes. The proposed IoT-based system is remarkably effective in assessing the strength monitoring process of PQC mixes.</p>

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Predicting Mechanical Strength of Concrete Pavement: A Case Study with IoT-Based Monitoring Systems

  • 期刊论文

  • 发表日期：

    2025年8月20日

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  • Siddharth Shankar Pradhan,
  • Abinash Chandra Pal,
  • Mahabir Panda,
  • Pradip Sarkar

摘要

Concrete pavements are preferred over bituminous pavements because of their longer life span and minimal maintenance cost. Concrete used in paving applications is designed using a somewhat different procedure and is usually called pavement quality concrete (PQC). It is often necessary to assess the strength of PQC at an early age to decide on opening the concrete pavement to traffic. The present study proposes an economical and innovative system based on the Internet of Things (IoT) that can monitor the compressive and flexural strength of PQC in real time at an early age of PQC. Three selected PQC mixes of M30, M40 and M50 grades commonly used in concrete pavements are selectively used to demonstrate the working of the proposed IoT-based system. The maturity-strength relationships for these three PQC mixes are made per the relevant standards. The compressive and flexural strength of PQC mixes is predicted and logged using the obtained maturity-strength relationships. The results obtained from this study match the actual compressive and flexural strength of respective PQC mixes. The proposed IoT-based system is remarkably effective in assessing the strength monitoring process of PQC mixes.