A harmonized, provenance-traceable dataset of 483 fiber-reinforced concrete materials for gap analysis and comparative materials selection.

This dataset is a harmonized, provenance-traceable compilation of 483 unique fiber-reinforced concrete (FRC) materials — 463 fiber-bearing mixes and 20 zero-fiber baseline controls — extracted from 63 peer-reviewed sources published between 2010 and 2026. Each material is a study-specific combination of fiber type, fiber form, matrix class, and dosage, described across 33 standardized fields covering identity, fiber geometry and dosage, matrix and mix design, mechanical performance (compressive, flexural, splitting-tensile, elastic modulus, toughness, fracture energy, tensile-strain capacity), and free-text durability, cost, and sustainability notes. Coverage spans seven fiber families (steel, glass, carbon, basalt, synthetic, natural, hybrid) and nine matrix classes (conventional concrete, mortar, HPC, UHPC, SCC, ECC/SHCC, geopolymer, lightweight concrete). A strict provenance rule was applied: a field is populated only where the cited source states the value and is never imputed, so blank cells faithfully indicate non-reporting. Every row carries a validated source DOI and a three-state provenance flag (primary-experimental, review-tabulated, or derived). Files included: frc_materials_master.csv — the full dataset (483 rows × 33 fields) with per-row provenance and quality-control flags. frc_data_dictionary.md — field-by-field specification, controlled vocabularies, unit conventions, and QC/deduplication rules. frc_coverage_summary.md — counts by fiber family and matrix, the family × matrix grid, and field-completeness percentages. frc_source_corpus.csv — the 63 source DOIs with title, year, source type, and materials contributed per source. The data support comparative materials selection, gap-driven experimental planning, meta-analysis and reporting-standard development, and training data for machine-learning models of FRC behavior.本数据集为经过标准化整合、来源可追溯的483种独特纤维增强混凝土（fiber-reinforced concrete, FRC）材料汇编，其中包含463组掺加纤维的配合比与20组无纤维基准对照组，数据提取自2010至2026年间发表的63篇同行评议文献。 每种材料对应特定研究中的纤维类型、纤维形态、基体类别与掺量的组合，共涵盖33项标准化字段，内容涉及材料标识、纤维几何参数与掺量、基体与配合比设计、力学性能（抗压、抗弯、劈裂抗拉、弹性模量、韧性、断裂能、拉应变能力）以及自由文本格式的耐久性、成本与可持续性说明。 覆盖7大类纤维家族（钢纤维、玻璃纤维、碳纤维、玄武岩纤维、合成纤维、天然纤维、混杂纤维）与9类基体类别（普通混凝土、砂浆、高性能混凝土（HPC）、超高性能混凝土（UHPC）、自密实混凝土（SCC）、工程水泥基复合材料/应变硬化水泥基复合材料（ECC/SHCC）、地聚物混凝土、轻集料混凝土）。 本数据集遵循严格的来源溯源规则：仅当引用文献明确给出对应字段的数值时才予以填充，绝不进行推定填充，因此空白单元格如实反映未报告的信息。每条数据均附带经过验证的来源DOI与三态来源溯源标记（原始实验数据、综述整理数据、衍生数据）。 包含以下文件： 1. frc_materials_master.csv：完整数据集（483行×33字段），每行附带来源溯源标记与质量控制（Quality Control, QC）标记。 2. frc_data_dictionary.md：分字段说明文档，包含受控词汇表、单位规范与质量控制/去重规则。 3. frc_coverage_summary.md：按纤维家族与基体分类的统计量、纤维家族-基体交叉统计表与字段完整率百分比。 4. frc_source_corpus.csv：包含63篇来源文献的DOI、标题、发表年份、文献类型与单篇文献贡献的材料数量。 本数据集可用于纤维增强混凝土材料的对比选型、基于研究缺口的实验规划、元分析与报告标准制定，以及用于训练纤维增强混凝土力学行为预测机器学习模型的数据集。