661 resultados para Roof gutters


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Rear of building from Diagonal. William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958. On verso: G.R. Swain, 713 East University Ave., Ann Arbor, Mich.

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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958

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State Street side of building (front). Tennis Court to right. William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958. Image includes tennis courts. On verso: From Michigan Historical Collections, University of Michigan, 168 Rackham Building, Ann Arbor, Michigan.

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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958. Image includes Alumni Memorial Hall, Graduate Library, Old University Hall, Chemistry Building, and Observatory. On verso: View from the Union

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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958

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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958

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State Street side of building (front). Tappan Hall on right. Old Library in rear. William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958. On verso: W.A. Lewis 6/15 1897 [Lewis was a student at UM in the late 1890's]

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Typed notes attached to verso: Front elevation of south wing. The photograph does not show the effects of wear and tear on this building. The door frames and sills should be replaced, the steps are in need of repairs and the siding is failing. At the right a part of the north wing appears. This displays the bad condition of the roof. The north wing contains a drawing room which is frequently abandoned during the winter because it cannot be heated. This seems to have been one of the wings of the building used as the University Hospital and later as the Dental College.

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Jenison, Edward S., architect. Glue damage to image. On verso: After old dome was removed but before new dome and roof were added.

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on front of photograph: 1909/Electric Lights/Note Cross Walk/Cobble Stone Gutters; 1910/Main Street paved with Brick & Curb

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v. 1 Mason's work -- v. 2 Carpenters' work -- v. 3 Trussed roofs and roof trusses.

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Mode of access: Internet.

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Primary olfactory neurons situated in the nasal septum project axons within fascicles along a highly stereotypical trajectory en route to the olfactory bulb. The ventral fascicles make a distinct dorsovental turn at the rear of the septum so as to reach the olfactory bulb. In the present study we have used a brain and nasal septum coculture system to examine the role of target tissue on the peripheral trajectory of olfactory sensory axons. In cultures of isolated embryonic nasal septa, olfactory axons form numerous parallel fascicles that project caudally in the submucosa, as they do in vivo. The ventral axon fascicles in the septum, however, often fail to turn, and do not project dorsally towards the roof of the nasal cavity. The presence of olfactory bulb, cortical, or tectal tissue apposed to the caudal end of the septum rescued this phenotype, causing the ventral fascicles to follow a normal in vivo-like trajectory. Ectopic placements of the explants revealed that brain tissue is not tropic for olfactory axons but appears to maintain the peripheral trajectory of growing axons in the nasal septum. Although primary olfactory axons are able to penetrate into olfactory bulb in vitro, they only superficially enter cortical tissue, whereas they do not grow into tectal explants. The ability of axons to differentially grow into different brain regions was shown to be unrelated to the migratory behavior of olfactory ensheathing cells, indicating that olfactory axons are directly responsive to guidance cues in the brain. (C) 2004 Wiley Periodicals, Inc.

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The suspen-dome system is a new structural form that has become popular in the construction of long-span roof structures. These domes are very slender and lightweight, their configuration is complicated, and hence sequential consideration in the structural design is needed. This paper focuses on these considerations, which include the method for designing cable prestress force, a simplified analysis method, and the estimation of buckling capacity. Buckling is one of the most important problems for dome structures. This paper presents the findings of an intensive buckling study of the Lamella suspen-dome system that takes geometric imperfection, asymmetric loading, rise-to-span ratio, and connection rigidity into consideration. Finally, suggested design and construction guidelines are given in the conclusion of this paper. (c) 2005 Elsevier Ltd. All rights reserved.

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An approach and strategy for automatic detection of buildings from aerial images using combined image analysis and interpretation techniques is described in this paper. It is undertaken in several steps. A dense DSM is obtained by stereo image matching and then the results of multi-band classification, the DSM, and Normalized Difference Vegetation Index (NDVI) are used to reveal preliminary building interest areas. From these areas, a shape modeling algorithm has been used to precisely delineate their boundaries. The Dempster-Shafer data fusion technique is then applied to detect buildings from the combination of three data sources by a statistically-based classification. A number of test areas, which include buildings of different sizes, shape, and roof color have been investigated. The tests are encouraging and demonstrate that all processes in this system are important for effective building detection.