%0 Generic %1 teichmann2025replication %A Teichmann, Alexander %D 2025 %K darus ubs_10002 ubs_20002 ubs_30029 ubs_40044 unibibliografie %R 10.18419/darus-4780 %T Replication Data for: Exploring the Predictive Potential of Sequential Data in Concrete Manufacturing %X Addendum to the corresponding paper. The paper explores the predictive potential of sequential data of a mixing plant regarding fresh concrete characteristics. The data was synthetically generated and takes into account the specific concrete mix proportions and their effect on the mixing power consumption as well as the slump flow value. The set contain 500 samples. The data set includes: torque_x: A series of 90 time-steps reflecting the mixing power consumption from start until end of mixing. One value per time-step. water, cement, filler, gravel: (content of given mix constituents) slump flow value: The slump flow value based on the mix proportion as well as the power consumption in mixing stage VI

@misc{teichmann2025replication, abstract = {Addendum to the corresponding paper. The paper explores the predictive potential of sequential data of a mixing plant regarding fresh concrete characteristics. The data was synthetically generated and takes into account the specific concrete mix proportions and their effect on the mixing power consumption as well as the slump flow value. The set contain 500 samples. The data set includes: torque_x: A series of 90 time-steps reflecting the mixing power consumption from start until end of mixing. One value per time-step. water, cement, filler, gravel: (content of given mix constituents) slump flow value: The slump flow value based on the mix proportion as well as the power consumption in mixing stage VI }, added-at = {2025-03-11T10:57:16.000+0100}, affiliation = {Teichmann, Alexander/University of Stuttgart}, author = {Teichmann, Alexander}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c7b216df146db462fde6db44d510a360/unibiblio}, doi = {10.18419/darus-4780}, howpublished = {Dataset}, interhash = {f527ab77a8bad2e7a377895a7d946235}, intrahash = {c7b216df146db462fde6db44d510a360}, keywords = {darus ubs_10002 ubs_20002 ubs_30029 ubs_40044 unibibliografie}, note = {Related to: In Submission}, orcid-numbers = {Teichmann, Alexander/https://orcid.org/0000-0003-0535-6914}, timestamp = {2025-03-11T10:57:16.000+0100}, title = {Replication Data for: Exploring the Predictive Potential of Sequential Data in Concrete Manufacturing}, year = 2025 }