Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures
Abstract Considering its affordability and accessibility, the deployment of date palm fiber (DPF) in cement composites is progressively escalating. However, the primary downside of DPF in cementitious composite is its deleterious effect on the properties of the composite. To fully utilize DPF in con...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-89515-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850191240825405440 |
|---|---|
| author | Musa Adamu Ashwin Narendra Raut Yasser E. Ibrahim Hani Alanazi Omar Shabbir Ahmed |
| author_facet | Musa Adamu Ashwin Narendra Raut Yasser E. Ibrahim Hani Alanazi Omar Shabbir Ahmed |
| author_sort | Musa Adamu |
| collection | DOAJ |
| description | Abstract Considering its affordability and accessibility, the deployment of date palm fiber (DPF) in cement composites is progressively escalating. However, the primary downside of DPF in cementitious composite is its deleterious effect on the properties of the composite. To fully utilize DPF in concrete, measures to mitigate its undesirable effects must be used. To address this issue, silica fume was employed as a supplementary cementitious material (SCM) in the DPF-reinforced concrete. In this study, the DPF was appended in several measures between 0 and 3% by weight of cement, and silica fume was employed in dosages between 0 and 15% replacement by volume of cement. Testing was performed on the concrete at normal and high temperature exposure ranging between 200 and 800 °C. Multivariable regression analysis (MRA) was performed to develop and predict the relationship between the variables (silica fume and DPF) and the properties of the concrete. Numerous Multi-criteria decision-making (MCDM) procedures were used to systematically assess and select optimal concrete mixes based on a comprehensive range of performance criteria. The experimental results revealed that DPF instigated a depreciation in the mechanical performance of the concrete, the addition of silica fume mitigated these undesirable effects, with 10% silica fume being the optimum. The study employed mathematical and statistical models to predict the performance of Date Palm Fiber (DPF)-reinforced concrete, addressing the lack of suitable prediction models for DPF. The models were validated through residual compressive strength tests at 200 °C and 800 °C. ANOVA analysis confirmed the models’ reliability and applicability in construction, demonstrating high predictability for both normal and elevated temperature conditions. Further, the MCDM analysis indicated that the mix M7 containing 1% DPF and 10% silica fume ranks highest across all methods, demonstrating superior thermo-mechanical and thermal performance despite a lower slump value due to its composition of 1% DPF and 10% silica fume. |
| format | Article |
| id | doaj-art-37e55d2d2df94f4f8705a55658c03096 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-37e55d2d2df94f4f8705a55658c030962025-08-20T02:14:59ZengNature PortfolioScientific Reports2045-23222025-02-0115112510.1038/s41598-025-89515-xMulti-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperaturesMusa Adamu0Ashwin Narendra Raut1Yasser E. Ibrahim2Hani Alanazi3Omar Shabbir Ahmed4Engineering Management Department, College of Engineering, Prince Sultan UniversityDepartment of Civil Engineering, Koneru Lakshmaiah Education FoundationEngineering Management Department, College of Engineering, Prince Sultan UniversityDepartment of Civil and Environmental Engineering, College of Engineering, Majmaah UniversityEngineering Management Department, College of Engineering, Prince Sultan UniversityAbstract Considering its affordability and accessibility, the deployment of date palm fiber (DPF) in cement composites is progressively escalating. However, the primary downside of DPF in cementitious composite is its deleterious effect on the properties of the composite. To fully utilize DPF in concrete, measures to mitigate its undesirable effects must be used. To address this issue, silica fume was employed as a supplementary cementitious material (SCM) in the DPF-reinforced concrete. In this study, the DPF was appended in several measures between 0 and 3% by weight of cement, and silica fume was employed in dosages between 0 and 15% replacement by volume of cement. Testing was performed on the concrete at normal and high temperature exposure ranging between 200 and 800 °C. Multivariable regression analysis (MRA) was performed to develop and predict the relationship between the variables (silica fume and DPF) and the properties of the concrete. Numerous Multi-criteria decision-making (MCDM) procedures were used to systematically assess and select optimal concrete mixes based on a comprehensive range of performance criteria. The experimental results revealed that DPF instigated a depreciation in the mechanical performance of the concrete, the addition of silica fume mitigated these undesirable effects, with 10% silica fume being the optimum. The study employed mathematical and statistical models to predict the performance of Date Palm Fiber (DPF)-reinforced concrete, addressing the lack of suitable prediction models for DPF. The models were validated through residual compressive strength tests at 200 °C and 800 °C. ANOVA analysis confirmed the models’ reliability and applicability in construction, demonstrating high predictability for both normal and elevated temperature conditions. Further, the MCDM analysis indicated that the mix M7 containing 1% DPF and 10% silica fume ranks highest across all methods, demonstrating superior thermo-mechanical and thermal performance despite a lower slump value due to its composition of 1% DPF and 10% silica fume.https://doi.org/10.1038/s41598-025-89515-xDate palm fiberSilica fumeDPF reinforced concreteHigh temperatureMultivariable analysisMCDM |
| spellingShingle | Musa Adamu Ashwin Narendra Raut Yasser E. Ibrahim Hani Alanazi Omar Shabbir Ahmed Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures Scientific Reports Date palm fiber Silica fume DPF reinforced concrete High temperature Multivariable analysis MCDM |
| title | Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures |
| title_full | Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures |
| title_fullStr | Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures |
| title_full_unstemmed | Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures |
| title_short | Multi-criteria decision-based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures |
| title_sort | multi criteria decision based optimization and multivariable regression analysis of date palm fiber reinforced concrete modified with silica fume under normal and elevated temperatures |
| topic | Date palm fiber Silica fume DPF reinforced concrete High temperature Multivariable analysis MCDM |
| url | https://doi.org/10.1038/s41598-025-89515-x |
| work_keys_str_mv | AT musaadamu multicriteriadecisionbasedoptimizationandmultivariableregressionanalysisofdatepalmfiberreinforcedconcretemodifiedwithsilicafumeundernormalandelevatedtemperatures AT ashwinnarendraraut multicriteriadecisionbasedoptimizationandmultivariableregressionanalysisofdatepalmfiberreinforcedconcretemodifiedwithsilicafumeundernormalandelevatedtemperatures AT yassereibrahim multicriteriadecisionbasedoptimizationandmultivariableregressionanalysisofdatepalmfiberreinforcedconcretemodifiedwithsilicafumeundernormalandelevatedtemperatures AT hanialanazi multicriteriadecisionbasedoptimizationandmultivariableregressionanalysisofdatepalmfiberreinforcedconcretemodifiedwithsilicafumeundernormalandelevatedtemperatures AT omarshabbirahmed multicriteriadecisionbasedoptimizationandmultivariableregressionanalysisofdatepalmfiberreinforcedconcretemodifiedwithsilicafumeundernormalandelevatedtemperatures |