Madzlan Napiah
- Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023). (2023):
- Physicochemical, rheological and microstructural properties of Nano-Silica modified Bio-Asphalt. Dans: Construction and Building Materials, v. 297 (août 2021). (2021):
- Physicochemical, rheological and morphological properties of bitumen incorporating petroleum sludge. Dans: Construction and Building Materials, v. 297 (août 2021). (2021):
- Modeling and design optimization of reclaimed asphalt pavement containing crude palm oil using response surface methodology. Dans: Construction and Building Materials, v. 291 (juillet 2021). (2021):
- Comparison of Response Surface Methodology and Artificial Neural Network approach in predicting the performance and properties of palm oil clinker fine modified asphalt mixtures. Dans: Construction and Building Materials, v. 324 (mars 2022). (2022):
- Rutting Prevention of Bituminous Mastic Using Microencapsulation Phase Change Material. Dans: Journal of Materials in Civil Engineering (ASCE), v. 33, n. 12 (décembre 2021). (2021):
- Optimization of rubber seed oil content as bio-oil rejuvenator and total water content for cold recycled asphalt mixtures using response surface methodology. Dans: Case Studies in Construction Materials, v. 15 (décembre 2021). (2021):
- Effect of nanosilica particles on polypropylene polymer modified asphalt mixture performance. Dans: Case Studies in Construction Materials, v. 8 (juin 2018). (2018):
- Modeling and optimization of mixing conditions for petroleum sludge modified bitumen using response surface methodology. Dans: Construction and Building Materials, v. 264 (décembre 2020). (2020):