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  • Evaluation of the suitability of processing methods for preparation processes

    Description:
    Most aging buildings are demolished to make room for new construction. Current demolition practices for reinforced concrete structures often result in low-grade recycling or waste. To enhance sustainability, aged reinforced concrete elements should be reused holistically. Therefore, automated production processes (also called fine processing) are required that ensures industrial scalability and enables a customized reconditioning after the extraction of elements from the donor building. This data set is part of the paper "Development of a Methodology for Deriving Fine Processing Steps with the Focus on Preparation of Aged Reinforced Concrete" and includes the survey results for the evaluation of the suitability of processing methods for preparation processes in the context of the fine processing. Furthermore the American Association for Public Opinion Research guideline categories and questions along with the respective answers pertaining to the conducted survey can be found. The overarching paper develops a systematic methodology that allows for the derivation of the respective preparation processes based on the element-specific damage. For this purpose, typical damage conditions of aged reinforced concrete elements are identified and systematically linked to the corresponding preparation processes. Subsequently, available concrete processing methods for the preparation processes are extracted from the literature. The core result is a three-stage methodology: (1) selection of ten available damage conditions of aged reinforced concrete elements, (2) derivation of preparation processes for the identified damage conditions, and (3) matching of required concrete processing methods to the preparation processes. This systematic approach provides the foundation for automated fine processing with focus on the preparation and the development of an overarching, adaptive production system for circular construction.
    Keyword:
    cradle to cradle, recycling, automation, reuse, fine processing, sustainable manufacturing, and construction engineering
    Publisher:
    Date Uploaded:
    2026-04-09
    Date Modified:
    2026-04-17
    License:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Dataset