Identification of chemical markers for blending phenomena in RAP mastics using FTIR spectroscopy and multivariate discriminant analysis

IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Mohsen Motevalizadeh, Konrad Mollenhauer
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引用次数: 0

Abstract

This study investigates the complexity associated with the blending phenomenon within recycled asphalt pavement (RAP) binder by employing Fourier Transform Infrared (FTIR) spectroscopy in conjunction with multivariate discriminant analysis, specifically utilizing Partial Least Squares Regression (PLSR) and Linear Discriminant Analysis (LDA) algorithms, collectively termed PLSR-LDA approach. The dataset comprises mastics with varying RAP contents, ranging from 0 % to 100 %, and includes two warm mix additives, Aspahmin and Sasobit. The multivariate discriminant analysis using PLSR-LDA effectively differentiated bituminous mastics based on RAP concentrations and warm mix additives, identifying significant wavenumbers with high normalized variance importance in projection (VIP) scores. Based on these normalized VIP scores, RAP concentrations were accurately identified by the absorption peaks at 1200–1145 cm−1 (aliphatic C–H bending vibrations) and 836–785 cm−1 (C–H bending vibrations in long-chain hydrocarbons) achieving an overall accuracy of nearly 80 %. In contrast, warm mix additives were effectively classified using the peaks at 735–713 cm−1 (Sasobit marker), 1135–900 cm−1 (Asphamin marker), and 2945–2875 cm−1 (C–H stretching in aliphatic hydrocarbons) with an accuracy exceeding 95 %. To further distinguish between different bitumen classes, the CatBoost classifier was employed, evaluating the absorption ranges based on feature importance values. The highlighted absorption peaks showed that RAP inclusion in bituminous mastics introduces aging-induced chemical components into the blended binder, such as aliphatic C–H bending vibrations and oxygen-containing compounds. This observation suggests that the blending between RAP binder and virgin bitumen can be chemically tracked using FTIR spectroscopy and multivariate discriminant analysis, proposing this approach for gauging the blending degree in future works.
用FTIR光谱和多元判别分析鉴定RAP树脂中混和现象的化学标记物
本研究通过傅立叶变换红外(FTIR)光谱结合多元判别分析,特别是利用偏最小二乘回归(PLSR)和线性判别分析(LDA)算法(统称为PLSR-LDA方法),研究了与再生沥青路面(RAP)粘合剂中混合现象相关的复杂性。该数据集包括具有不同RAP含量的胶粘剂,范围从0 %到100 %,并包括两种温混合添加剂,Aspahmin和Sasobit。使用PLSR-LDA进行多变量判别分析,根据RAP浓度和温混合料添加剂有效区分沥青材料,识别出在投影(VIP)得分中具有高归一化方差重要性的显著波数。基于这些归一化VIP分数,RAP浓度可以通过1200-1145 cm−1(脂肪族C-H弯曲振动)和836-785 cm−1(长链碳氢化合物C-H弯曲振动)的吸收峰准确识别,总体精度接近80% %。相比之下,温混合添加剂使用峰735-713 cm−1 (Sasobit标记),1135-900 cm−1 (Asphamin标记)和2945-2875 cm−1(脂肪烃中的C-H拉伸)有效分类,精度超过95 %。为了进一步区分不同沥青类别,使用CatBoost分类器,根据特征重要值评估吸收范围。突出的吸收峰表明,沥青胶粘剂中RAP夹杂物将老化引起的化学成分引入到混合粘合剂中,如脂肪族碳氢弯曲振动和含氧化合物。这一观察结果表明,可以使用FTIR光谱和多元判别分析来化学跟踪RAP粘结剂与原生沥青之间的混合,为未来的工作提供了衡量混合程度的方法。
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来源期刊
Construction and Building Materials
Construction and Building Materials 工程技术-材料科学:综合
CiteScore
13.80
自引率
21.60%
发文量
3632
审稿时长
82 days
期刊介绍: Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged. Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.
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