From a9343271a165bdc0da6033380142f1fe23a3d382 Mon Sep 17 00:00:00 2001
From: rch <rostislav.chudoba@rwth-aachen.de>
Date: Sun, 17 Apr 2022 19:54:52 +0200
Subject: [PATCH] lecture 2 video - links

---
 .../2_1_1_PO_observation.ipynb                |  46 ++++++-
 .../2_2_1_PO_configuration_explorer.ipynb     | 129 ++++++++++++++----
 2 files changed, 150 insertions(+), 25 deletions(-)

diff --git a/tour2_constant_bond/2_1_1_PO_observation.ipynb b/tour2_constant_bond/2_1_1_PO_observation.ipynb
index 9262eaa..bf2e146 100644
--- a/tour2_constant_bond/2_1_1_PO_observation.ipynb
+++ b/tour2_constant_bond/2_1_1_PO_observation.ipynb
@@ -16,7 +16,42 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[![title](../fig/bmcs_video.png)](https://moodle.rwth-aachen.de/mod/page/view.php?id=551807)"
+    "<!-- [![title](../fig/bmcs_video.png)](https://moodle.rwth-aachen.de/mod/page/view.php?id=551807) -->\n",
+    "<!-- [![title](../fig/bmcs_video.png)](https://youtu.be/vc-kLmnHMvw) -->"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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\n",
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"400\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/vc-kLmnHMvw\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "            \n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7f76005313d0>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import YouTubeVideo\n",
+    "YouTubeVideo('vc-kLmnHMvw')"
    ]
   },
   {
@@ -236,6 +271,15 @@
     "    <a href=\"2_2_1_PO_configuration_explorer.ipynb#top\">2.2 Classification of pullout configurations</a>&nbsp; <img src=\"../icons/next.png\" alt=\"Previous trip\" width=\"50\" height=\"50\"> </div> "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"background-color:lightgray;text-align:left;width:45%;display:inline-table;\"> \n",
+    "    <iframe width=\"560\" height=\"315\" src=\"https://www.youtube-nocookie.com/embed/vc-kLmnHMvw\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>\n",
+    "    </div> "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/tour2_constant_bond/2_2_1_PO_configuration_explorer.ipynb b/tour2_constant_bond/2_2_1_PO_configuration_explorer.ipynb
index c1edee7..6bd6308 100644
--- a/tour2_constant_bond/2_2_1_PO_configuration_explorer.ipynb
+++ b/tour2_constant_bond/2_2_1_PO_configuration_explorer.ipynb
@@ -1,5 +1,51 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id=\"top\"></a>\n",
+    "# **2.2: Classification of pull-out configurations**\n",
+    "\n",
+    "[Slides](slides/S0202-Classification_of_pullout_tests.pdf)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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\n",
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"400\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/NXB9BCt_UNk\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "            \n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7fd94bab5c40>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import YouTubeVideo\n",
+    "YouTubeVideo('NXB9BCt_UNk')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -8,11 +54,10 @@
     }
    },
    "source": [
-    "<a id=\"top\"></a>\n",
-    "# **2.2: Classification of pull-out configurations**\n",
-    "\n",
-    "[![Classification](../fig/bmcs_video.png)](https://moodle.rwth-aachen.de/mod/page/view.php?id=551810)\n",
-    "\n",
+    "<!-- [![Classification](../fig/bmcs_video.png)](https://moodle.rwth-aachen.de/mod/page/view.php?id=551810)\n",
+    " -->\n",
+    "<!-- [![Classification](../fig/bmcs_video.png)](https://youtu.be/NXB9BCt_UNk) part 1\n",
+    " -->\n",
     "The analytical solution of the pull-out from rigid matrix for constant bond-slip law \n",
     "explained in the notebook [2.1 Pull-out of elastic fiber from rigid matrix](2_1_1_PO_observation.ipynb) can be adapted to \n",
     "several practically relevant configurations that occur in brittle-matrix compostes. The notebook \n",
@@ -41,6 +86,41 @@
     "| $L_\\mathrm{b}$ | mm | Length of the bond zone |"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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hunfXrV08vxlUVe0769aunl+MqigLoeT/AK/ZOni/UC566Hk/6/ZOni/UCD3BERBC+E8ohpfz2XzVrzDVtyjWEegK5451X1ekaGWBrmuLWl0jqMLhg26BgDjV1af0rdZ7Zfe5haWkHDutca8vDCDzymnvsSdyP5JTT32JO5H8l6E+Sa8QGG7XA3W//YPyS3SStH8OhcBVrSCQ8/ZJHo8/LXUUHntNPfYk7kfySmnvsSdyP5L0SxTueKuDgaCoc0tunW3l/HnxVpB5jTT32JO5H8kpp77Encj+S9OUIPN4Rpgh4lY+tw7mC1mL6imrZeVfcNN+yf8A24/kvSpoi58ZFKNcSe6R+63I3crJNV5fuGm/ZP8A7cfyTcdOeyf/AG4/kvUFWtFpc1xDWg0beJJph2HYhLll2ledbnp32b+5H8kuad+xJ3I/kvSoZbzGuOF7VVVNI2p0T2XSKOrVppq111KmOOWV4vgLunfsSdyP5Jc079iTuR/JeiSxieMEOcGkVoKY89QtWjXPutFRQAVBY4EYbTmi8e29vhbI/TjH0LZg3C9dZFXXSlQr9dMu9GedvI+CP821X2rPrH8zf3W1RmX9nxNiGm2zxGWW/FfbfAY0Etrj/INS7mlJpqtdZ4CX43nOLmkZUyab2vNdpFVmUno4zrZbmiNu4wFzga1kcBUahwfkp840lxazf3neBX5bCx9bxeca0vmnVirDRQAbNqiZavhxprTpK46lns4NDSkzictQuYrHyen0k4Dz2KFo2h1H9bRUfiF3URlClEQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERB4bp3161dPL8ZVFXtO+vWrp5fjKooC6Hk/6/ZOni/UC566Hk/6/ZOni/UCD3BERAWIYK1oKnXTFZKEEooUoIUoiAoUogp2qGQvYWuFA6tCMBwSK8v8Ays6T7Yz1H5qwirXL0V/4+2L/AFLVLZpH0vCE05HK6ibJlrw5zLFK1wIcygNQ3G6DSmHas5rPM5zHHc6sJOvWFeRNtf8AS72r0m/wv9SXZ/txj/KT+6sIm2eSqIZgSb7Kmn8h1dfKt8IeBwy0nkFFmihctpRERkREQEREBERAREQEREBERAREQEREBEUIJRc11vk3V0bWa3BpINMGtoDylzj1NJW612mRjgGRXxStakdWDSguKiZ5JDM2OgDKsB1l10Go1Uxpzq5fo28cMKnkVPQ7T5uxxrWSshrmC8l1OqtOpBZswcGAPNTU9lTQc9KLaqtstLmOja1tb7qEnICmeqprQUrr10Wo2wmRuF1n8WpO2MhtD2uP+VBfULnQ2yR25Etul0jmObQ4ANca48rQeYrCS2P84u+iGiQUIdQmjC0nkNTTrQdVFXsUzpImvc26XCpbrbyHlCsICIiAiIgIiIPDdO+vWrp5fjKoq9p3161dPL8ZVFAXQ8n/AF+ydPF+oFz10PJ/1+ydPF+oEHuCIiAue2zyiZ764EOFb227dw/po7t5SugiDixaPnBbU0AcCBfJu03Op5a3X97lKzdY5iKAFtHyU4eV5wLXdQrhyrrogoWqAPtEYeGvZdfRrmggHg4pZbJZ5GBwiiNSRURgZOIyPMsrZM2ORj3mjWskc47ALpKr+T2ko7TBejpwXOBABFMSRgdoIK3MLcblrtBb+joPYxdxvyT6Og9jF3G/JWkWBV+joPYxdxvyT6Og9jF3G/JWkQVfo6D2MXcb8k+joPYxdxvyWVutsdnidLK66xuZ/AKlZtNttDA6zRySg6yLjRzl37VW508rOUnb6ptb+joPYxdxvyWE1lssbbz44GNGtzWgfitYs9pk+slbEPswip63uH5NC2waLhY69cvP+28l7u11SOpNYzzVUt0sz/qbJu3K2Job3nUB6qqWaOe9wLobLE2uLQy+4jno0DsK66Kcp6QVLHE1kkrWNDRVuAFB6KuKtB9bNzt+FbXzMbg5zW85AWRsRUtISvDGmMmhOJa28aXSRQY5uujr61g60TGaEBjtzNQ80FK3XbTUAEDGmNUGT7PHJaX32NfSOOl4A0q5+VVs+joPYRdxvyWMJd5zLeAH8OOlDWovSZ4YK4gq/R0HsIu435J9HQewi7jfkrSIKv0dB7CLuN+SfR0HsIu435K0iCr9HQewi7jfkn0dB7CLuN+StIgq/R0HsIu435J9HQewi7jfkrSIKv0dB7CLuN+SfR0HsIu435K0iCpo9ga17WgACR1AMAMVbVaxZSdI781ZQEREBQpRBCKUQUdLEuhdE2t6UXBTUCQHHkoCT1LdZ7S17nMb/JgdmZFPwW5zqCuPUKqQQgLFsTRgGgYk5azmefE9qzRBFBWutEUoIUqFjurb128L2yuPYgzRQpQEREBERB4bp3161dPL8ZVFXtO+vWrp5fjKooC6Hk/6/ZOni/UC566Hk/6/ZOni/UCD3BQVKgoOToq1OlfhK97Wj0r0Za7VhRoPLUYLrrk6Oe/dSXXqOGA3FzA3Wak5rc2zSiZ7wcCHCt7bdu4f00d28pQX1K4sej5wW40AcCBfJu03Op5a3X97lKmPR8oDa+k1zT6VW1oA5xqNdCcMe1BdtUbXysY4BzXMkBByIN2oWjQNihgs92AUaXOJJGJN4jHHVSnUt8gPnMZrhcfhT7qzsAduQvNDTV2ApT0jTLkW5leNm+wsqFhNM2Npe9wa0Ykk0AVHdp7R9VWCL2jm/wARw/oafR53dikx33Fq1W2OEDdHUJyaKlzvutGJ6lW3W0y+gwQM+1JwnnmaDQdZ6lvsthjiqWirz6T3Gr3c5OPVkrKu5PCOc/QkMgInDpyRQukNe6BQN6gFasVjjs8bYomhrG5D/wB5rc40CjhbR2f8qXPKzVvZWSlYcLaOz/lMdo7P+VkZotD7Q1po6Rgxu47aVpnmsw+oqC0jHLkzQaoPrZudvwqrpZ4a6M1a29UFxuA4YgVdhrOCtQfWzc7fhVfSjHuLAwF1KlwHNhUX28utBfY0NaAAAAKADIKVontTY2tcauvZXca4En8ASpdaWhzG0NJPRdqJoTTbkCgwj9Zk6OP4pFaVOF4NploQaRxg0ORvSYFXEBERAREQEREBEUIJUKva7YyICtS4+ixuLncw/fJVLO175WySnEVusB4LcPxPL2KbamPba3YspOkd+asqtYspOkd+asqsiIiCFAcDWhGGfIpXPi0cWNZHfJaA+8ciSRnr11OFBjkg3jSEZIAJNaUoNoLgOsCvZtVhjw4BwNQRUHaFQi0bS64nEFriBkXNZdBrqFKdizOjWmCOFxNGAY0aakCn8wKC6qrYT5y6SnBMbW1wzDnGn4rZBZhHHubSRSuNG7a5AU/BULJa3yF5MlGMe5tbuYDi2oNKHhAigQdN0jW0BcATlU58y1y2pjDdJ4WGAzxy/I9hVafRt6Tdb3DAwNBWoa4DHUOETTag0ebwdXEXHA50c0EHnBBKC1Z7SyQVYa4A9RyP59hW1U7HYBETjUbm1g5aFxJPKS4pY9GshfeaSTSnosHwtBQXFzGaOMlolllBAvx7mARiGNqCdfpOeacym3Wl7Jo4mvNZA4+jW6AWjUNrgMVnaJzHC6QylxaKUbdxd9kEjbggvqVVscl8NduhdeaHXcMiKjIK0gIiICIiDw3Tvr1q6eX4yqKvad9etXTy/GVRQF0PJ/1+ydPF+oFz10PJ/wBfsnTxfqBB7goKlEFLR8M0YLZHB4zDrzichUEHlqc9dFdREEKVCIK0v18X3ZP9qr2a0xw2YOF4i88NFOE5xeeCANdVYl+vi+7J/tVDRDHTPdNIB/CdJHGBSmDjefhhU5dR2ldMZ2tqLMFjdI4TWiheMWRjFkfid/V2U130RZttBERZGL8lTfoqJzi4mapJJpNKBjsAdgrj8lXLLRefSSK6Qbg3N1QdV438RnlRaxtni6GtmiomuDgZqggis0pGG0F2Kz0jYd3aBfLKVy5Rh2Gh6lLGWjgXpIjQm/SNwvDVd4fB66qNImcNG4AE41rTZUZ7SKdaZW3zdjQdFChaH0BqMqktc1ocDy1bmrcMNxjgTWpe7vOJ/dU2buHi8176OcTdIDfQaBgSKtxdtxC2wyyPLXOaWjc3XhjStRSlf834LKt0H1s3O34Vo0o0AB+4slcK4OjLq8lQDd7Fvg+tm52/CrCDRLZWPY1pbQNyDTSmFKCnISEbZGh4eL1WggYmlCa0p/3IbFvRBWjH/wAmTo4/ikVpVWesydHH8UisoJRFCCUUIglQtE9sij9N7QdlcTzDMqq/SL3fVRkD7cnBHU3M9dFNtTG10HvDQSSABmTkFzpNIOkwgGHtXDg/5R/Nz5c60mzl5DpnGQjEA4MHM3LrNSt6m25jI1RQBpLqlzz6T3YuP/HIMFYg9Nv/AHUsFnB6bf8AupCt1jyk6R35qwq9j/8AJ0jvzVhachERAWiZxEkVDgS4EdVf2W9VrT9ZD94/AUjWPlZUqERkVMaMjDQ1t4AEEVc5wweH5EnMjNXFKCEVDTBeWRsjvBz5WCoLhRodedUjIFoIryqxYonsjDXvL3VJrzkkDloDSp2IN6KUQV5rFG999wdeu3ah7hhWtMCojsTGgDE0LyNXpkk4DnIVlEFayWNkNQzBtGgDYGigFcyrClEEIpRBCKVCDw7Tvrtq6eX4yqKvad9dtXTy/GVRQF0PJ/1+ydPF+oFz10PJ/wBfsnTxfqBB7giIgLnts0ome+uBDhW8dd27h/TR3byldBEHFi0dOC3EABwNL5N2m51PLW6/vcpRujp6AVGAp6Z9Kjf4n4HDlXaRBTtDHiZkjQXtDXC6LopWmOJGxaNHOMcQayCQirjUmMYucXH+baVt0jJK27uVcnZNrV2F1pwwacanDLNQ2aQ2gAXrmwto27drerT0r2FK5atau+2ht85k9hJ3meJPOZPYSd5niVpFBV85k9hJ3meJYi2PLi3cJKilcWa/8y22xzhE4srephQVPKQNZoqTrRLuTPrL5eQDcwu3jdc/g4cEDKmJphqC0bQ8/wDgk7zPEsd2k9jL3o/EriIKe7yexl70fiWLrU8FoMMvCNBwmbCftchV5c2G0TB0tWuceFdaW0FQ510A0yLQMSczy0Qb93k9jJ3meJQZn+wk7zPEstHPkdEDKCH1cDeABwcQDQGmVFaQVrKHXpHOYWXiKAkE4DkJVlQpQU9JQPkY0M1EkipFeCQMRsJB6lrNmlMzHk4ANBN46r1cP6qt7OQLoIg58gkjlkeGueHMaARd4NC80oSK+kFUZ54QCHvoRX6uLxq5bpZhDKQ26Q0lhZw3E6hdu61Fsnkvx7mHXdfAzN5uBqMBdLseTkogrXLb9t/9uLxpdtv23/24vGuwpQcN8VtP/lkHNHD+7lXdo21u9Oe0O5CIwOxrwvpFqlc8EXWNcNZLqU/AostjgQWGZpc1l5pGdIohWor9vFbvNrX9t/8Abi8atQzTFsocXNN3guMfov4VQABi0ANoca1zKu2J7nRtLwQcc8zQkA5DMY5a00brkea2r7b/AO3F4081tX23/wBuLxrvIhuuD5ravtP/ALcXjWULbRHJGX7o8EkXbkYrwSc7+GS7i5QtE9JsHE0NzgZOq7AYYi6GnHWeWiG1yxtcGuLm3S57jQkE0J5FYWiwucY6vqTV1C4UJF43SRQUNKKwiIRSiCFXtecXSD8irK0WuMuZwfSaQ5vONX7I1j5blRtEU7p2FpAiBbXhEH+Yuwpj/IOaqtwSh7Q4f+jrBWaM2aVJ7PM6S82W63Dg07VumY8ngPDR92v7rapQVpZi1waXxgu9EONCeYLOGQuriw/dOSrz2HdJ776XGht0ayQ68a8lQzurfY7MIowwY010ArymiDcpREBERAREQEREBEUIPDtO+u2rp5fjKoq9p3121dPL8ZVFAXQ8n/X7J08X6gXPXQ8n/X7J08X6gQe4KFKICIiAiIgKFKICIiCFy4tLmSOV7YyLkZfV2R4NR+N7s5V1Vi5oIIIBBwIOtBQdpFzXlm51DTQuvUrQMJIFP6xr1FYx6Te4fVht5tQb1cSwvFRQagda6QAAoBQDUoc0OBBAIOBByKDGF95jXHMgHtCzQCmAUoCIiAiIgIiIIUoiCFKIgxkeGtLiQABUk4DrVKO3ueyJwbc3SS6Q7MAAk1Go1aryh7A6lQDQ1FRkdqDmRaXc5rXbjS8G0F/W5ocAcNh/BZx6Re5zRcDeE0HGtQb4wyoasPVTq6KhzAaEgGhqKjI7QgyREQFClEEKURAREQFClEFeSyguvNcWOOZGvnBwKxpM3Wx/JQtPbis7Ra2RemacFzsicG0r+Y7VLrS0NvGtKkeicwaZdSba5VWl0kGEte0sdTCtCOumK2wW1j4nSZBtb2ulBU5ZrY2dhaX1o0ZlwpTtWDiyaN7Y3tN4FpLSDSo10KLbjZ4b2ODgCMiKhZKvurYWxsc7E0a3DMgf8LVatINjrQXiGk4HYQ0DtI/FGF1FTs9uDn3CKOq8Z4VbSv4EHtW6z2pklbhrSmNDTHIjag3IiICIiAiIgKFKhB4dp3121dPL8ZVFXtO+u2rp5fjKooC6Hk/6/ZOni/UC566Hk/6/ZOni/UCD3BERARFBNM0Gq1sLontAqS0gCtNW1Up7NM9sQGBa2h4WTuDR+GdKOw5V0gVKChaYA+0Rh9Hsuvo1zQQDwcVu+j4PYxdxvyUS/Xxfdk/2qygr/R8HsYu435J9Hwexi7jfkrKIK30fB7GLuN+SfR8HsYu435KyiCt9Hwexi7jfkn0fB7GLuN+SsogrfR8HsYu435J9Hwexi7jfkrKIK30fB7GLuN+SfR8HsYu435KwsZJWsALnBoJAFTTE5BBXscTWSStY0NFW4AUHoq2q0H1s3O34VZQVdIRudGAwVcHMIxpk4E/gtUkEjp2vyaKfzZAXq4a71W9nIFfRBzfNWvtUu6tbJSOMtvNBu1dJgFY+jbP7CLuN+SiP1qToovikVtBV+jbP7CLuN+SqaTscUcQLIYQ4vY2pjaaXngH8CuqqGl/q2dLF8YUvhvp/NFP6KH+D/YYp+ih/g/2GLoKVl05fb2jm/RQ/wf7DE+ih/g/2GLpIhy+3tHN+ih/g/wBhifRQ/wAH+wxdJEOX29o530UP8H+wxZwaLbfF5sLhrG4sFVeWIla17GucAXEhoJxOFcNqsiW9v8jXo+K6JQKXL7gGAAAY6lq82lMEbC3FuYv+lg4AV5DdPUrVhyk6R/5q0tOLCJpDWhxqQACdppms1VtlodHdoGkGoxJrXUAA0k4V7Fugc5zAXAAnUCSOTMBBsREQV7RYo5SC9tSBQYnaD+bQepZyWdjm3HMa5uxwqOfFbUQa4oGMbdYxrW7GgAdgWu1sbuZq4MAxvbP+VvUOaHChAI2FBTsdmDmRPfQyNBxaTTGlcjTUOxZN0eygBxAa5p2EONSO2itNaAKAADYFkgrtsbA4GmQd/qNXE8uCWSxxwgiMEA0rUk5NDRmdgA6lYRAREQEREBERAUKVCDw7Tvrtq6eX4yqKvad9dtXTy/GVRQF0PJ/1+ydPF+oFz10PJ/1+ydPF+oEHuChSoQSqGmCxsV9zWGjgAXBppeIBpeIHaVeVXSbXGKjKk3m4CtaXhXIgntCDOwtaIm3AACK8ENpjifRw7FYVN0TnWcNGfBqDUVAILm5kioqMzmq5sktyIfzMdUcIFoBINDUY0GGGOCC1L9fF92T/AGq0qcjT5zGb2Fx+FMvRVxAREQEREBEUIChzgASSABmSqcukASWQt3V4wNDRjT/U79hUrV5qXm9O7dCMQ2lGDmGvnNepZ5fRm5fRm63OkwgaCPaO9D/KM3fgOVRDZQHh7iZJPtO1fdGTRzLepGYU+7P3IPrZudvwrRpG2GEg3w1tB/4nvqa5cE82Ga3wfWzc7fhVTSMLHTMJkja+7Roc5zXZ40o4ci26OjHeui9S9QVpgK66LNUbbZ5HxMAIc4ekAS0O4BGGdKOIPUo83k3aN+wXXEkEEC9iBSoJJH/Qg2R+tSdFF8UitqlA0i1S1Nf4cdMMuFJgriCVR0r6EfSx/ErqpaUyi6Vn7qZeG+n80bFKhFG0ooQmmJQFhNM2Npe9wa0ZkmgVJ+kjJhZmh/8AiHCMcx/n6sOULBljF4SSuMsgyLsm/dbk3nz5V1nT18ybS62Sy4Qt3NntJBifuM/d1OYrbYLI1kodi55ze41ccDr2cgwWa2Wf02/91LVupqdkrdYcpOkf+atLnRRPcy0Br6FzpA3D0TtrzrW+xyGEsu0N68wBwIbmKGoNRr6+RcnNs0yQI2EmlHimz0TnVzadquwHgN+6Py5z+ZVDSz7rGOc4i6a1a12dKYEZZnUVfs7iY2EgglowNa5a6gH8Ag2IoRBKKEQFKhEEooRBKKEQSihEEooRBKKEQSoREHh2nfXbV08vxlUVe0567aunl+MqigLoeT/r9k6eL9QLnroeT/r9k6eL9QIPcFClQgKtb4muYCYRMQcGkCuOdKq0oQabG1ojF2MRg43QKUqdi3qFKCrL9fF92T/arSqy/Xxfdk/2q0gIihBKhabTa2RAF7qE5AYuPMBiVUc6aXOsLNgI3Q85yb1VPKFLWblpYtFuYw3BV8n2G4nnOoDlKrOikl+udRvs2E0/zOzdzYDnW2GBkYoxoA17Tyk6ytiz58s+fKGMDQA0AAZAYAKURFFIzUKRmFQg+tm52/Ctdu0eJyC5zqAUuGhYfvNIxWyD62bnb8KsLTYFKhEFWP1qToovikVtVI/WpOii+KRWkEqjpPODpR8LldVHSXpWfpf9jlL4b6fzNqlVbVbmRENNXPPosaKuPVqHKaBVHtmm+tO5s9mw4n77v2FOcreOFve9o0sT6SaHFkbTLIM2tyb992TebPkVY2V0uNocHjVG3CMc4/m68OQKxFE1jQ1jQ1oyAFAsl0msflAYKVCLIlZ2f02/91LWtln9Nv8A3Uolb7F/5Okd+asqtYv/ACdI/wDNWVhzULfZRLJHRzA5ocRea4nUCQQ4U/5VyBjmsAcQSNYFB+JP5rCexxSEOkY15AIF4VpWladgW5rQAAMhggIpRBCKUQQilEEIpRBCKUQQilEEIpRBCKUQQilEHhunPXbV08vxlUVe0567aunl+MqigLoeT/r9k6eL9QLnroeT/r9k6eL9QIPcERQglERBotkTnxlrc6jCtKgOBLesVHWqL7FMWRtqODe/mOBJBa4YY3RUcq6qIKdoY8TMkaC9oa4XRdFK0xxpsVVj7S4XmmQA5C7Ft+8r8j31Iu0ZQ8IGrstTaZqibTKbPEf4geQN0O5m8OC7UW53gNWR61NJZspatsndi8SEWr7Undi8S6URJa28KOoKjl1rNNHGOHDYpmEuG6Fxze4Rlx672XJkt252j+vuxeJdVYTOcBwGhx5XU/YqcYnCOV/8i9d/iVpX0YvEstztH9fdi8S3xTS7u4PDrmy7Vo9C7Q0xzdXZTUs9GPkLDuhc4g0vObdvYDEAgUxqE4w4xW3O0/192LxJudp/r7sXiXWROMOMcnc7T/X3YvEsXGdlHO3Qiowux6yB9pdhUGzSi0OBDtzrQcHg0o2hqBneLhnkOtXjDjG6yh1+Rzmlt4igJBOA5CrKo6Lklc0mW9Xg+k2lDdF4DDEA5H8SryrSnpKzvkY0MoaEkgkivBIGPISD1LUbLKZmPJFGhorXEUvVw/qq3s5AuiiDnSCSOWV4a57XMaARcF26XmmJFfSCrsNqIBDpaEV9CHxK1bpphDKQ0tIaSws4bidQu3dai1zy349zD7uvgHE1ZgajAXS7HaOpFmWmilr+1L3YfEtNpslpkAq+YFpqCGw1BoR9rYSu4iTs1zv5I+es+jJowQzdBXEktiLnHa4l9SVt81tO2TuxeJdxa5XPBF1gcNZLqU/Ard6mV8/0ztxWw2gkistW58CLZX7Sy81tO2TuxeJWYZpi2UOL2m7wXbnW6/hVAAGLRRtDjWuZVyxPc6NpeCHY55mhIByFKjGlNac7+SG65Xmtp2yd2LxJ5radsndi8S7qJzv5Ibrhea2nbJ3YvEsomzxyMLhK4EkAXYhXgk4kOwyXbXKFonpNg8uobnAwDquwGGIuhues8tFOd/NG22KzymObEsdJfug04BORqO1ajY5THduil8uDL5pQtIu1pqNHf+ldsLnGOr61q6hcKEi8bpIoKGlFvWUYxNIa0E1IABO00zWSKUBERAREQEREBERAREQEREBERAREQEREHhunPXbV08vxlUVe0567aunl+MqigLoeT/r9k6eL9QLnroeT/r9k6eL4wg9wULDdRyqRIEGaLC+EvhBmiwvhL4QZKVhfCXwgzRYXwl8IMlQ+kC6OZzGgXDdBOIOxwGFW0Ix1486u3woeWuBDgCDmCMCgpSaTc1xrFwQaVvY+ncyptI6lrOlHlrv4YaQ0kGtRgGGmQ1PHWD19K+FD7rhRwBGwhBsRYXwl8IM0WF8JfCDNFhfCXwgzRYXwl8IM0WF8JfCDJSsL4S+EEvcGtJJAAFcclSjtznshcG3L8l0h2YABJqNRq1XL4UOumlQDQ1FRkdqDnRaXc5rXbjS9dpwtbmhwrhsP4LNmkHuc0XA3hNBxrUG+MMqGrOz8L98KHXTQkA0NRUZHaEGxFhfCXwgzULG+EvhBmiwvhL4QZosL4QyBBmi17qOVN1HKg2Ite6jlTdRyoNiLXuo5U3UcqDYi17qOVN1HKg2Ite6jlTdRyoNiLXuo5U3UcqDYi17qOVN1HKg2Ite6jlTdRyoNiLXuo5U3UcqDxHTnrtq6eX4yqKvad9etXTy/GVRQF0PJ/wBfsnTxfGFz10PJ/wBfsnTxfGEHtCKpbre2Dcr4NJH3KippwHOyAqfRpQbVi/S1nbdJmYA5rXA6qOJDTXUCQRjrQXUVQ6ShuB+6ChJGAJNR6QpSoprwwWTLfC54YJGlxyAOfBvUByrdxpsxQWUWp1oYCQTlnnsr201ILQyla0oCTWoIpnUHnCDai0m1MFeFkSDgcxn2Ux2LJszS4tBxFfwzptog2IiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiIChxoCVKxf6J5ig4MXlNeikk3H0CzC/neJ5ORdDRGlW2priBdc04trXDUV8hZvVZ+eL8yttikfZjDaRix94HloaOb+AIXkx6uW5t9jqfCdO45THtd9vbb6PS+nG2Z4YGX3EVIvUps1FaLT5SbmWDca3mMd6X2hWmS+etjHvDrQ41D5CAftUGJ5sgrf/AO3ZPuWf8greplak+F6WOM3N3V3/AA6bfKkAi/A5rdZrWnVQVXWt2kGQQ7sQXNw9HXXIrhaZs1sMRdO6MxsIPBzzpsG1XRCLbo9jGG5kMcaXDT9l26WX69ZvF8T08Z0ufTntdtm+BgeI3xyMdea03qcG9iCcVEXlCx4FyKRzi4tuC7XAVrnln2KJtB3jaBeF2YNIwxa8a+bNaLLoLzeWKa+DcaQ4AZk1aCO0di9uulr93zN9XaxD5QseY/4UjWyOutcbtK1x16lZs2lWSNe4NdRryzVjQVJHIuWzRIDIYnvDtxe9zhdwcMCQOoLfo+xNiEovcEuc4BopStGgfgmWHT12XHLqb7uq+0tBcMeCK/lh+ITzkCoLSCAT2bO1U9zq0Gr6kkZCh5seQdizcb5JOPBI9HBpOX5Fc+Mdd1vNrFC666gNK4babVuY8OrTUaKgyg1YVDr13Gl7XjkrdjbRpoai8afl+ymWMiyvHdP+v2vp5fjKoK/p/wBftfTy/GVQXNoXQ8n/AF+ydPF8YXPWyCZ0b2SMNHscHNOwg1BQe0aQsj5dycx4Y+KS+C5t4HgObQio+1tVRmhKBw3T0mRNJu62SukJz1l5w1cq8634aQ4ye4zwpvw0hxk9xnhQelP0Y8SGWOUNkL3kFzLwAe1gIpUY8AGv4KWaMc20CUS4fzANoX8C7w6G6cga3ailK0wXmm/DSHGT3GeFN+GkOMnuM8KD1N9ncQ8BwDXVOWNcOXKoWEtjc4O4QBcHh2FRRwaMMf6QvL9+GkOMnuM8Kb8NIcZPcZ4UHqUllJbQOAN57gaGovEnChGVetTDZbjy6oNb1M68J1466dgXlm/DSHGT3GeFN+GkOMnuM8KD1xF5Hvw0hxk9xnhTfhpDjJ7jPCg9cReR78NIcZPcZ4U34aQ4ye4zwoPXEXke/DSHGT3GeFN+GkOMnuM8KD1xF5Hvw0hxk9xnhTfhpDjJ7jPCg9cReR78NIcZPcZ4U34aQ4ye4zwoPXEXke/DSHGT3GeFN+GkOMnuM8KD1xF5Hvw0hxk9xnhTfhpDjJ7jPCg9cReR78NIcZPcZ4U34aQ4ye4zwoPXEXke/DSHGT3GeFN+GkOMnuM8KD1xF5Hvw0hxk9xnhTfhpDjJ7jPCg9cReR78NIcZPcZ4U34aQ4ye4zwoPXEXke/DSHGT3GeFN+GkOMnuM8KD1xF5Hvw0hxk9xnhTfhpDjJ7jPCg9cReR78NIcZPcZ4U34aQ4ye4zwoPXEXke/DSHGT3GeFN+GkOMnuM8KD1xF5Hvw0hxk9xnhTfhpDjJ7jPCg9cUOFQQvJN+GkOMnuM8Kb8NIcZPcZ4UH38fk01sT491cb93G6MLpPLyq03QzPNfNnOJFSQ6mIJJNR2rzbfhpDjJ7jPCm/DSHGT3GeFYnTxno7X4jqXzfXf8vSbfoVk0UcQcWNjyoK6qKtaPJwPcx27OaWsa0UH2RSua8/34aQ4ye4zwpvw0hxk9xnhS9PG+hj8R1MfFfev8mi4UdaZCNhx/ddix2VsMbY2ei3bmdpK8q34aQ4ye4zwpvw0hxk9xnhVmEneJn1s85rK9nri1zxlzSBnh+BqvJ9+GkOMnuM8Kb8NIcZPcZ4VpyeoOsjjeNQC6vUa/JG2RwLcRgSTyitR+S8v34aQ4ye4zwpvw0hxk9xnhWudTUeoMshwBDcHVJBNTn81Asr8PRwyIrWlcuVeYb8NIcZPcZ4U34aQ4ye4zwpzpp6oyzkChp9WG9a2xMuta3YAF5Nvw0hxk9xnhTfhpDjJ7jPCpbaaUtP8Ar9r6eX4yqC2TzOke6R5q97i5x2kmpK1qKIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIg//Z\n",
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"400\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/P0bfIwI0_rc\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "            \n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7fd94c3c11c0>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "YouTubeVideo('P0bfIwI0_rc')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -70,13 +150,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
+   "execution_count": 9,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1b365a0773714a45a2aba46c40a9f6f3",
+       "model_id": "fded9f14068c49c694f45a8be90e0352",
        "version_major": 2,
        "version_minor": 0
       },
@@ -123,13 +205,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
+   "execution_count": 10,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "251c6cb437844a76b9a606ae819fa3a9",
+       "model_id": "8d7ba0bf854546fbaf45f69a0c15baa2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -170,13 +254,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
+   "execution_count": 11,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7100ebac65604642a1e3363b0cf2e04a",
+       "model_id": "f35d492a0ab448dba2de4bd06fa45304",
        "version_major": 2,
        "version_minor": 0
       },
@@ -217,13 +303,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "execution_count": 12,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b87ec7832aa24db19b627bb2704369dc",
+       "model_id": "dad985b4f224449785be0d5578e4378a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -275,13 +363,6 @@
     "</div><div style=\"background-color:lightgray;text-align:center;width:10%;display:inline-table;\"> <a href=\"#top\"><img src=\"../icons/compass.png\" alt=\"Compass\" width=\"50\" height=\"50\"></a></div><div style=\"background-color:lightgray;text-align:right;width:45%;display:inline-table;\"> \n",
     "    <a href=\"fragmentation.ipynb#top\">2.3 Tensile behavior of a composite</a>&nbsp; <img src=\"../icons/next.png\" alt=\"Previous trip\" width=\"50\" height=\"50\"> </div> "
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
-- 
GitLab