Find research datasets worth reusing

opencc-by-4.0Aug 2020View details →

Dataset: RC U-shaped walls subjected to in-plane, diagonal, and torsional loading: new experimental findings

This dataset contains the processed experimental digital image correlation (DIC) technique data for two large-scale reinforced concrete U-shaped wall specimens tested at the Earthquake Engineering and Structural Dynamics Laboratory (EESD Lab), École Polytechnique Féderale de Lausanne (EPFL) in Switzerland.  The abstract for the corresponding journal paper, submitted to Engineering Structures, is given below. Although reinforced concrete U-shaped walls are popular in construction practice internationally, there is a paucity of experimental research investigating the seismic performance of such salient elements. The present paper summarizes an experimental campaign on two slender U-shaped reinforced concrete walls detailed with a single-layer of reinforcement. State-of-the-art instrumentation was used to capture the three-dimensional displacement field of the wall surfaces using digital image correlation techniques. Experimental findings are presented, including strain profiles, equivalent plastic hinge lengths, longitudinal strains at the base, cracking distributions and widths, and out-of-plane deformations. The longitudinal strain profiles showed a yielding region up the boundary ends of the flanges of approximately 800 mm to 1200 mm in length, depending on the direction of loading and at large drift levels. Approximately half of the yielding zone length was found to be equal to the equivalent plastic hinge lengths, which were found to decrease as a function of drift. The longitudinal strains at the base of these walls showed some shear lag effects when subjected to in-plane or diagonal loading. For most directions of loading, the largest crack widths were found to be associated with flexural-shear or shear cracks. When subjected to a pure torque, the vertical strain distribution at the base of the wall correlated with the theoretical distribution for an open section governed by warping torsion. The out-of-plane deformations were primarily concentrated within a small region towards the ends of the flanges prior to the local buckling failures that were observed experimentally.Although reinforced concrete U-shaped walls are popular in construction practice internationally, there is a paucity of experimental research investigating the seismic performance of such salient elements. The present paper summarizes an experimental campaign on two slender U-shaped reinforced concrete walls detailed with a single-layer of reinforcement. State-of-the-art instrumentation was used to capture the three-dimensional displacement field of the wall surfaces using digital image correlation techniques. Experimental findings are presented, including strain profiles, equivalent plastic hinge lengths, longitudinal strains at the base, cracking distributions and widths, and out-of-plane deformations. The longitudinal strain profiles showed a yielding region up the boundary ends of the flanges of approximately 800 mm to 1200 mm in length, depending on the direction of loading and at large drift levels. Approximately half of the yielding zone length was found to be equal to the equivalent plastic hinge lengths, which were found to decrease as a function of drift. The longitudinal strains at the base of these walls showed some shear lag effects when subjected to in-plane or diagonal loading. For most directions of loading, the largest crack widths were found to be associated with flexural-shear or shear cracks. When subjected to a pure torque, the vertical strain distribution at the base of the wall correlated with the theoretical distribution for an open section governed by warping torsion. The out-of-plane deformations were primarily concentrated within a small region towards the ends of the flanges prior to the local buckling failures that were observed experimentally.

opencc-by-4.0Jan 2021View details →

Process map for casting a long-term experimental campaign on RC shrinkage cracking.

This dataset presents the process map that was developed for the casting of a long-term experimental campaign on reinforced concrete (RC) slabs subjected to the combined effect of restrained shrinkage and vertical loads. This experimental campaign was performed in the scope of the FCT project "IntegraCrete: A comprehensive multi-physics and multi-scale approach to the combined effects of applied loads and thermal/shrinkage deformations in reinforced concrete structures''. The results from this experimental campaign are presented in Gomes et al (2020), while the conceptualization, planning and experimental procedures are described in detail in Gomes et al (2021). The latter is supported by this process map to describe the micromanagement plan that was devised for the casting day. 14 people were involved in the casting of 3 slabs and 2 complementary specimens inside a highly instrumented climatic chamber, as well as 38 specimens for concrete characterization at different ages and 12 load blocks to use as vertical loads. This process map was developed with the standard Business Process Model and Notation (BPMN).

opencc-zeroJan 2015View details →

Quasi-static cyclic tests on 2 systems with one RC and one URM wall each

The test units were constructed at 2/3 scale and subjected to quasi-static cyclic in-plane loading. The test units consisted each of one RC and one URM wall, which were connected by two RC beams. The test units represent the lower two storeys of a four storey reference structure. Their behaviour was recorded using conventional and optical measurement techniques.

opencc-by-4.0Dec 2021View details →

Рис. 3. Teratocephalon hexahamus gen. n., sp. n.: A — трофико-сенсорный отΑеΛ теΛа; B — трофико-генитаΛьный отΑеΛ теΛа; C, D — переΑний конец теΛа. a — анус, am — амфиΑы, v — вуΛьва, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pu — заΑняя матка, nr — нервное коΛьцо, rc — прямая кишка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник, e — яйцо Fig. 3. Teratocephalon hexahamus gen. n., sp. n.: A — trophic-sensory part of the body; B — trophic-reproductive part of the body; C, D — anterior end of the body. a — anus; am — amphids; v — vulva; cc — cephalic capsule; ve — "ventricle"; pu — posterior uterus; nr — nerve ring; pu — anterior uterus; r — renetta; rc — rectum; ep — excretory pore; o — ovary; e — egg in Recent data on soil nematodes of the families Teratocephalidae and Metateratocephalidae from Primorsky Region, Russia

Рис. 3. Teratocephalon hexahamus gen. n., sp. n.: A — трофико-сенсорный отΑеΛ теΛа; B — трофико-генитаΛьный отΑеΛ теΛа; C, D — переΑний конец теΛа. a — анус, am — амфиΑы, v — вуΛьва, cc — гоΛовная капсуΛа, ve — «жеΛуΑочек», pu — заΑняя матка, nr — нервное коΛьцо, rc — прямая кишка, au — переΑняя матка, r — ренетта, ep — экскреторная пора, o — яичник, e — яйцо Fig. 3. Teratocephalon hexahamus gen. n., sp. n.: A — trophic-sensory part of the body; B — trophic-reproductive part of the body; C, D — anterior end of the body. a — anus; am — amphids; v — vulva; cc — cephalic capsule; ve — "ventricle"; pu — posterior uterus; nr — nerve ring; pu — anterior uterus; r — renetta; rc — rectum; ep — excretory pore; o — ovary; e — egg

opencc-by-4.0Feb 2019View details →

Dataset: Decay of Torsional Stiffness of RC U-shaped Walls When Subjected Simultaneously to In-Plane Loading

Reinforced concrete U-shaped walls are a popular construction choice, commonly used to resist the lateral loads from wind and earthquakes.  When subjected to earthquake ground motions, it is likely that these structural elements will not only bend in flexure but twist due to asymmetries of the building plan layout and the location of the shear center outside of the section.  This research investigates the dependency of the torsional stiffness of U-shaped walls on the in-plane translational displacement demands using novel experimental evidence and advanced numerical models.  The experimental results show that for a given flexural position, the torsional stiffness decreases with increasing in-plane translational displacement.  Furthermore, the numerical and experimental results indicate that when the wall is centered the torsional stiffness degrades at the same rate at the translational stiffness of the walls.  Thus, the torsional stiffness of a U-shaped wall as a function of ductility can be estimated using the translational secant stiffness.  The numerical results also show that the torsional stiffness increases as a function of the axial load ratio of the wall.  The experimental and numerical dataset from this research investigation can be downloaded from a publicly accessible repository.

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 4: Series I20

Part 4: Series I20 Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 3: Series I10

Part 3: Series I10 Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 2: Series S

Part 2: Series S Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 1: General information

Part 1: General information Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to: Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. International Journal of Protective Structures. <a href="https://doi.org/10.1177/20414196241277221">https://doi.org/10.1177/20414196241277221</a> The presented data is based on Andersson and Pettersson (2019): Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27. --- This dataset consists of the following records: Part 1: General information Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact Part 2: Series S Static tests – COM Correlate files Part 3: Series I10 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 4: Series I20 Static tests – COM Correlate files Impact tests – High speed images Impact tests – COM Correlate files Part 5: Result files

publicFeb 2021View details →

dryad40/100

The human origin recognition complex (ORC) is essential for pre-RC assembly, mitosis and maintenance of nuclear structure

Open the record for dataset details and reuse information.

opencc-byMay 2021View details →

Edu Pure RC Gaede Pump

Pure Reality Capture mesh as a reference for rebuilding process. Final product here: https://muzea.malopolska.pl/en/objects-list/2756 and here https://skfb.ly/6ZuyA Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Nov 2021View details →

RC Assessment Raw Data for five exemplar cities

Resilient City Assessment Raw Data for London, Addis Ababa, Rotterdam, New York, and Surat.

opencc-by-4.0Dec 2021View details →

Raw recordings for electrophysiological characterization of CNO-DREADD mediated responses in noradrenergic locus coeruleus (LC) neurons from lines RR1(P), RR2(P), and RC::FPDi (P).

Whole-cell recordings were performed as described previously by the Jiang lab. Briefly, patch pipettes (2-7 MΩ) were filled with an internal solution containing 120 mM potassium gluconate, 10 mM HEPES, 4 mM KCl, 4 mM MgATP, 0.3 mM Na3GTP, 10 mM sodium phosphocreatine and 0.5% biocytin (pH 7.25). Whole-cell recordings from up to 8 LC neurons were performed using two Quadro EPC 10 amplifiers (HEKA Electronic, Germany). PatchMaster (HEKA) and custom-written Matlab-based programs (Mathworks) were used to operate the recording system and perform online and offline data analysis. In current-clamp recordings, neurons were first current clamped at ~-40pA to prevent spontaneous firing. Prior to investigating the effect of drugs, we calculated spike thresholds and recorded firing patterns in response to sustained depolarizing currents by injecting increasing current steps (+10pA). Continuous recordings were obtained from LC neurons current clamped at -40 to 0 pA during drug wash-on experiments. We also calculated other intrinsic electrophysiological parameters, such as the input resistance, membrane time constant, spike amplitude, after-hyperpolarization (AHP) etc.

opencc-by-4.0Aug 2022View details →

Parametric Study of FRP-confined RC columns

Results of numerical parametric study on the transverse steel confinement effects on the structural behavior of FRP-confined RC columns

opencc-bySep 2021View details →

Szőlőhegyi kápolna, Kéthely, Hungary Rc

This is the new version of the same photoset to my [old modell](https://sketchfab.com/3d-models/szolohegyi-kapolna-kethely-hungary-0b8ba0583165418e8d048b9e84a712f5), but created in RealityCapture. Small chapel on the vineyard near Kéthely, Hungary. http://www.kethely.plebania.hu/kapolna.html Created in RealityCapture by Capturing Reality from 193 images in 00h:35m:44s. Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Apr 2018View details →

Detection of Structural Components in Point Clouds of Existing RC Bridges

The cost and effort of modelling existing bridges from point clouds currently outweighs the perceived benefits of the resulting model. There is a pressing need to automate this process. Previous research has achieved the automatic generation of surface primitives combined with rule-based classification to create labelled cuboids and cylinders from point clouds. While these methods work well in synthetic datasets or idealized cases, they encounter huge challenges when dealing with real-world bridge point clouds, which are often unevenly distributed and suffer from occlusions. In addition, real bridge geometries are complicated. In this paper, we propose a novel top-down method to tackle these challenges for detecting slab, pier, pier cap, and girder components in reinforced concrete bridges. This method uses a slicing algorithm to separate the deck assembly from pier assemblies. It then detects and segments pier caps using their surface normal, and girders using oriented bounding boxes and density histograms. Finally, our method merges over-segments into individually labelled point clusters. The results of 10 real-world bridge point cloud experiments indicate that our method achieves an average detection precision of 98.8%. This is the first method of its kind to achieve robust detection performance for the four component types in reinforced concrete bridges and to directly produce labelled point clusters. Our work provides a solid foundation for future work in generating rich Industry Foundation Classes models from the labelled point clusters.

opencc-by-4.0Oct 2024View details →

TCM_RC_result

In situ Jphi calculated from magnetic field data of THEMIS, MMS and Cluster, using curlometer method. And some other parameters. This is not final data and needs to be filtered and processed. Linked to: https://github.com/XinTanCN/Code-for-T_M_C-RC-paper

opencc-by-4.0May 2023View details →

Brightness vs t of a LED connected to a RC circuit measured using a smartphone light meter

Brightness vs t of a LED connected to a RC circuit measured using the light meter of a "Xiaomi Redmi Note 8T" smartphone.