Optimization of Dosage for Asphalt Volatile Harmful Gas Inhibitor Using Multi-Response Satisfaction Function and...

Area of Science:

• Materials Science
• Chemical Engineering
• Environmental Science

Background:

• Asphalt binder and modified asphalt systems emit volatile harmful gases.
• Accurate quantification of inhibitor dosage is crucial for efficient gas degradation.
• Traditional methods for determining inhibitor dosage are often empirical and single-objective.

Purpose of the Study:

• To develop and validate a dosage optimization method for volatile gas inhibitors in asphalt.
• To integrate nonlinear regression and multi-response satisfaction functions for precise inhibitor dosing.
• To evaluate the synergistic degradation effects of inhibitors on multiple harmful gases.

Main Methods:

• Systematic measurement of ammonia, nitrogen oxides, sulfur dioxide, and hydrogen sulfide concentrations.
• Application of nonlinear regression to establish predictive models for gas concentrations (R² > 0.95).
• Normalization of multi-objective degradation using a satisfaction function to determine optimal dosage.

Main Results:

• Accurate prediction models for volatile gas concentrations at various inhibitor dosages were developed.
• Optimal inhibitor blending ratios were determined: 0.082% for base asphalt, 0.079% for SBS modified asphalt, and 0.080% for rubber modified asphalt.
• Optimal dosages achieved high and balanced degradation of all four measured gases, with no adverse effects on asphalt mixture performance.

Conclusions:

• The proposed method offers a quantitative, multi-objective approach for optimizing asphalt volatile gas inhibitor dosage.
• This methodology advances from qualitative to quantitative prediction and from single- to multi-objective optimization.
• Provides data and theoretical support for precise, efficient, and engineering-applicable use of asphalt volatile gas inhibitors.