ALBERT — All Library Books, journals and Electronic Records Telegrafenberg

1

Unknown

Strengthening Solutions for Deep Reinforced Concrete Beam with Cutout Opening (2021)

Bahrami, Alireza ; Ågren, Felicia ; Kollberg, Kim

Molecular Diversity Preservation International

In: Buildings . 2021; 11(8): 370. Published 2021 Aug 20. doi: 10.3390/buildings11080370.

add to mindlist on the mindlist

Details

Publication Date: 2021-08-20

Description: Since reinforced concrete (RC) buildings have long service life, cutout openings are generally needed in their load-bearing walls as a sustainable solution in order to meet new requirements of their users. However, the cutout openings decrease the load-bearing capacity of the walls, which may result in the failure of the buildings. In this paper, we investigate the possibility of making a door opening in a load-bearing RC wall of an existing building in Gävle in Sweden. The wall studied in the current paper rests on two individual supports at its two ends; thus, it is considered as a deep beam. However, it is called an examined wall (EW) here. The StruSoft FEM-Design software is used in this study to model, analyze, and design the building based on the Eurocodes and Swedish national annex. The potential need for the EW to be strengthened when the cutout opening is made is also evaluated. It is concluded that strengthening the EW with cutout opening is needed. Different strengthening solutions are proposed for the EW. Moreover, the situation of the EW with the solutions is assessed with regard to the utilization ratio, deflection, and weight. Consequently, it is demonstrated that the proposed strengthening solutions function well for the EW.

Electronic ISSN: 2075-5309

Topics: Architecture, Civil Engineering, Surveying

Published by Molecular Diversity Preservation International

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

2

Unknown

A Novel Affine Covariant Feature Mismatch Removal for Feature Matching (2021)

Shen, Liang ; Zhu, Jiahua ; Fan, Chongyi ; [et al.]

Institute of Electrical and Electronics Engineers

In: IEEE Transactions on Geoscience and Remote Sensing. 2021; 1-13. Published 2021 Jan 01. doi: 10.1109/tgrs.2021.3104146. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-01-01

Print ISSN: 0196-2892

Electronic ISSN: 1558-0644

Topics: Architecture, Civil Engineering, Surveying , Geography

Published by Institute of Electrical and Electronics Engineers

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

3

Unknown

An Automatic Cloud Detection Neural Network for High-Resolution Remote Sensing Imagery With Cloud-Snow Coexistence (2021)

Chen, Yang ; Weng, Qihao ; Tang, Luliang ; [et al.]

Institute of Electrical and Electronics Engineers

In: IEEE Geoscience and Remote Sensing Letters. 2021; 1-5. Published 2021 Jan 01. doi: 10.1109/lgrs.2021.3102970. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-01-01

Print ISSN: 1545-598X

Electronic ISSN: 1558-0571

Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences

Published by Institute of Electrical and Electronics Engineers

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

4

Unknown

Structure-Guided Feature Transform Hybrid Residual Network for Remote Sensing Object Detection (2021)

Li, Jiaojiao ; Zhang, Huanqing ; Song, Rui ; [et al.]

Institute of Electrical and Electronics Engineers

In: IEEE Transactions on Geoscience and Remote Sensing. 2021; 1-13. Published 2021 Jan 01. doi: 10.1109/tgrs.2021.3103964. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-01-01

Print ISSN: 0196-2892

Electronic ISSN: 1558-0644

Topics: Architecture, Civil Engineering, Surveying , Geography

Published by Institute of Electrical and Electronics Engineers

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

5

Unknown

DGCNN Network Architecture With Densely Connected Point Pairs in Multiscale Local Regions for ALS Point Cloud Classification (2021)

Chen, Yang ; Xu, Yaming ; Xing, Yin ; [et al.]

Institute of Electrical and Electronics Engineers

In: IEEE Geoscience and Remote Sensing Letters. 2021; 1-5. Published 2021 Jan 01. doi: 10.1109/lgrs.2021.3102599. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-01-01

Print ISSN: 1545-598X

Electronic ISSN: 1558-0571

Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences

Published by Institute of Electrical and Electronics Engineers

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

6

Unknown

Estimating Terrestrial Snow Mass via Multi‐sensor Assimilation of Synthetic AMSR‐E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals (2021)

Wang, Jing ; Forman, Barton A. ; Girotto, Manuela ; [et al.]

American Geophysical Union

In: Water Resources Research. 2021; Published 2021 Aug 20. doi: 10.1029/2021wr029880. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-08-20

Print ISSN: 0043-1397

Electronic ISSN: 1944-7973

Topics: Architecture, Civil Engineering, Surveying , Geography

Published by American Geophysical Union

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

7

Unknown

Downhole Microseismic Monitoring Using FOSS and Its Field Test Comparison With Moving-Coil Geophone (2021)

Liu, Fei ; Xie, Shangran ; Zhang, Min ; [et al.]

Institute of Electrical and Electronics Engineers

In: IEEE Transactions on Geoscience and Remote Sensing. 2021; 1-14. Published 2021 Jan 01. doi: 10.1109/tgrs.2021.3104001. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-01-01

Print ISSN: 0196-2892

Electronic ISSN: 1558-0644

Topics: Architecture, Civil Engineering, Surveying , Geography

Published by Institute of Electrical and Electronics Engineers

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

8

Unknown

Modeling of Surface Roughness With an Anisotropic Power-Law Spectrum and Its Applications to Radar Backscattering From Soil Surfaces (2021)

Yang, Ying ; Chen, Kun-Shan ; Zhao, Xiuyi

Institute of Electrical and Electronics Engineers

In: IEEE Transactions on Geoscience and Remote Sensing. 2021; 1-11. Published 2021 Jan 01. doi: 10.1109/tgrs.2021.3104745. [early online release]

add to mindlist on the mindlist

Details

Publication Date: 2021-01-01

Print ISSN: 0196-2892

Electronic ISSN: 1558-0644

Topics: Architecture, Civil Engineering, Surveying , Geography

Published by Institute of Electrical and Electronics Engineers

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

9

Unknown

MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years (2021)

Krumpen, Thomas ; von Albedyll, Luisa ; Goessling, Helge F. ; [et al.]

Copernicus

In: The Cryosphere. 2021; 15(8): 3897-3920. Published 2021 Aug 20. doi: 10.5194/tc-15-3897-2021.

add to mindlist on the mindlist

Details

Publication Date: 2021-08-20

Description: We combine satellite data products to provide a first and general overview of the physical sea ice conditions along the drift of the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition and a comparison with previous years (2005–2006 to 2018–2019). We find that the MOSAiC drift was around 20 % faster than the climatological mean drift, as a consequence of large-scale low-pressure anomalies prevailing around the Barents–Kara–Laptev sea region between January and March. In winter (October–April), satellite observations show that the sea ice in the vicinity of the Central Observatory (CO; 50 km radius) was rather thin compared to the previous years along the same trajectory. Unlike ice thickness, satellite-derived sea ice concentration, lead frequency and snow thickness during winter months were close to the long-term mean with little variability. With the onset of spring and decreasing distance to the Fram Strait, variability in ice concentration and lead activity increased. In addition, the frequency and strength of deformation events (divergence, convergence and shear) were higher during summer than during winter. Overall, we find that sea ice conditions observed within 5 km distance of the CO are representative for the wider (50 and 100 km) surroundings. An exception is the ice thickness; here we find that sea ice within 50 km radius of the CO was thinner than sea ice within a 100 km radius by a small but consistent factor (4 %) for successive monthly averages. Moreover, satellite acquisitions indicate that the formation of large melt ponds began earlier on the MOSAiC floe than on neighbouring floes.

Print ISSN: 1994-0416

Electronic ISSN: 1994-0424

Topics: Geography , Geosciences

Published by Copernicus on behalf of European Geosciences Union.

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

10

Unknown

Quantifying location error to define uncertainty in volcanic mass flow hazard simulations (2021)

Mead, Stuart R. ; Procter, Jonathan ; Kereszturi, Gabor

Copernicus

In: Natural Hazards and Earth System Sciences. 2021; 21(8): 2447-2460. Published 2021 Aug 20. doi: 10.5194/nhess-21-2447-2021.

add to mindlist on the mindlist

Details

Publication Date: 2021-08-20

Description: The use of mass flow simulations in volcanic hazard zonation and mapping is often limited by model complexity (i.e. uncertainty in correct values of model parameters), a lack of model uncertainty quantification, and limited approaches to incorporate this uncertainty into hazard maps. When quantified, mass flow simulation errors are typically evaluated on a pixel-pair basis, using the difference between simulated and observed (“actual”) map-cell values to evaluate the performance of a model. However, these comparisons conflate location and quantification errors, neglecting possible spatial autocorrelation of evaluated errors. As a result, model performance assessments typically yield moderate accuracy values. In this paper, similarly moderate accuracy values were found in a performance assessment of three depth-averaged numerical models using the 2012 debris avalanche from the Upper Te Maari crater, Tongariro Volcano, as a benchmark. To provide a fairer assessment of performance and evaluate spatial covariance of errors, we use a fuzzy set approach to indicate the proximity of similarly valued map cells. This “fuzzification” of simulated results yields improvements in targeted performance metrics relative to a length scale parameter at the expense of decreases in opposing metrics (e.g. fewer false negatives result in more false positives) and a reduction in resolution. The use of this approach to generate hazard zones incorporating the identified uncertainty and associated trade-offs is demonstrated and indicates a potential use for informed stakeholders by reducing the complexity of uncertainty estimation and supporting decision-making from simulated data.

Print ISSN: 1561-8633

Electronic ISSN: 1684-9981

Topics: Geography , Geosciences

Published by Copernicus on behalf of European Geosciences Union.

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext