Work

Bayesian LSTM-Based Missing Data Estimation and Flexural Strength Assessment for Determination of Novel Smart Mobility Pavement Materials: Mg(OH)2 Added Plastic Composites

Year: 2025

Type: article

Abstract: The construction field needs to reduce carbon emissions; therefore, many methods are being attempted applying to materials research. Concrete and asphalt are the representative materials for the pavement system. However, a lack of aggregates and certain limits in binder replacement are the main obstacles to achieving a reduction in carbon emissions. This study aims to address the lack of sustainable alternatives in pavement materials by investigating recycled plastic composites with Mg(OH)2, thereby filling a research gap in low-carbon, mechanically viable solutions for smart mobility infrastructure. Three types of recycled plastics—polypropylene (PP), polyethylene terephthalate (PET), and OTHER (OTH) resins—were combined with Mg(OH)2 to produce nine specimen configurations. The mechanical behavior and flexural performance were evaluated through displacement–flexural stress curve tests, while missing experimental data were reconstructed using a Bayesian long short-term memory (BLSTM) machine learning approach. The BLSTM model achieved an average R2 of 0.8018 in testing and 0.7618 in validation, confirming reliable prediction capability even with a small dataset. All composites demonstrated a minimum flexural strength of 30 MPa, with PP-based specimens reaching approximately 40 MPa, confirming their suitability for pavement applications. These results highlight the flexural performance of each composite type, with PP emerging as the most promising candidate.

Source: Materials

DOI: 10.3390/ma18184334

Authors: Byeong-Hun Woo, Yong-Joo Kim, Il-Hwan Kang, Kang-Hun Lee

Institution: Korea Institute of Civil Engineering and Building Technology

Language: English

Topic: Asphalt Pavement Performance Evaluation

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Sustainable cities and communities, Climate action

Open Access status: gold

Estimated APC paid: $3,137